question_id
int64 0
16.1k
| db_id
stringclasses 259
values | dber_id
stringlengths 15
29
| question
stringlengths 16
325
| SQL
stringlengths 18
1.25k
| tokens
listlengths 4
62
| entities
listlengths 0
21
| entity_to_token
listlengths 20
20
| dber_tags
listlengths 4
62
|
|---|---|---|---|---|---|---|---|---|
1,069
|
public_review_platform
|
bird:train.json:4061
|
Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday.
|
SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday'
|
[
"Please",
"indicate",
"the",
"business",
"i",
"d",
"have",
"the",
"closing",
"time",
"with",
"the",
"category",
"of",
"Arts",
"&",
"Entertainment",
"on",
"Sunday",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "Arts & Entertainment"
},
{
"id": 9,
"type": "table",
"value": "business_categories"
},
{
"id": 3,
"type": "table",
"value": "business_hours"
},
{
"id": 5,
"type": "column",
"value": "category_name"
},
{
"id": 1,
"type": "column",
"value": "closing_time"
},
{
"id": 0,
"type": "column",
"value": "business_id"
},
{
"id": 7,
"type": "column",
"value": "day_of_week"
},
{
"id": 11,
"type": "column",
"value": "category_id"
},
{
"id": 10,
"type": "table",
"value": "categories"
},
{
"id": 4,
"type": "column",
"value": "day_id"
},
{
"id": 8,
"type": "value",
"value": "Sunday"
},
{
"id": 2,
"type": "table",
"value": "days"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 1,
"token_idxs": [
8,
9
]
},
{
"entity_id": 2,
"token_idxs": [
18
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
14,
15,
16
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"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",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
1,070
|
movielens
|
bird:train.json:2297
|
Please list all horror films that have a rating of 1.
|
SELECT T1.movieid FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 1 AND T2.genre = 'Horror'
|
[
"Please",
"list",
"all",
"horror",
"films",
"that",
"have",
"a",
"rating",
"of",
"1",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "movies2directors"
},
{
"id": 0,
"type": "column",
"value": "movieid"
},
{
"id": 1,
"type": "table",
"value": "u2base"
},
{
"id": 3,
"type": "column",
"value": "rating"
},
{
"id": 6,
"type": "value",
"value": "Horror"
},
{
"id": 5,
"type": "column",
"value": "genre"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
3
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,071
|
codebase_community
|
bird:dev.json:692
|
How long did it take the user, known by his or her display name 'Zolomon' to get the badge? Count from the date the user's account was created.
|
SELECT T1.Date - T2.CreationDate FROM badges AS T1 INNER JOIN users AS T2 ON T1.UserId = T2.Id WHERE T2.DisplayName = 'Zolomon'
|
[
"How",
"long",
"did",
"it",
"take",
"the",
"user",
",",
"known",
"by",
"his",
"or",
"her",
"display",
"name",
"'",
"Zolomon",
"'",
"to",
"get",
"the",
"badge",
"?",
"Count",
"from",
"the",
"date",
"the",
"user",
"'s",
"account",
"was",
"created",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "creationdate"
},
{
"id": 2,
"type": "column",
"value": "displayname"
},
{
"id": 3,
"type": "value",
"value": "Zolomon"
},
{
"id": 0,
"type": "table",
"value": "badges"
},
{
"id": 6,
"type": "column",
"value": "userid"
},
{
"id": 1,
"type": "table",
"value": "users"
},
{
"id": 4,
"type": "column",
"value": "date"
},
{
"id": 7,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
21
]
},
{
"entity_id": 1,
"token_idxs": [
28,
29
]
},
{
"entity_id": 2,
"token_idxs": [
13,
14
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
26
]
},
{
"entity_id": 5,
"token_idxs": [
32
]
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": [
2
]
},
{
"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-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
1,072
|
mondial_geo
|
bird:train.json:8260
|
How many organizations are established in the country with the most ethnic groups?
|
SELECT COUNT(T2.Province) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country INNER JOIN ethnicGroup AS T3 ON T3.Country = T2.Country GROUP BY T1.Name ORDER BY COUNT(T3.Name) DESC LIMIT 1
|
[
"How",
"many",
"organizations",
"are",
"established",
"in",
"the",
"country",
"with",
"the",
"most",
"ethnic",
"groups",
"?"
] |
[
{
"id": 4,
"type": "table",
"value": "organization"
},
{
"id": 1,
"type": "table",
"value": "ethnicgroup"
},
{
"id": 2,
"type": "column",
"value": "province"
},
{
"id": 3,
"type": "table",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
11,
12
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
1,073
|
election
|
spider:train_spider.json:2782
|
Show the name of the county with the biggest population.
|
SELECT County_name FROM county ORDER BY Population DESC LIMIT 1
|
[
"Show",
"the",
"name",
"of",
"the",
"county",
"with",
"the",
"biggest",
"population",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "county_name"
},
{
"id": 2,
"type": "column",
"value": "population"
},
{
"id": 0,
"type": "table",
"value": "county"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"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",
"O"
] |
1,074
|
professional_basketball
|
bird:train.json:2836
|
Who are the coaches for team with winning rate of 80% and above?
|
SELECT coachID FROM coaches GROUP BY tmID, coachID, won, lost HAVING CAST(won AS REAL) * 100 / (won + lost) > 80
|
[
"Who",
"are",
"the",
"coaches",
"for",
"team",
"with",
"winning",
"rate",
"of",
"80",
"%",
"and",
"above",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "coaches"
},
{
"id": 2,
"type": "column",
"value": "coachid"
},
{
"id": 1,
"type": "column",
"value": "tmid"
},
{
"id": 4,
"type": "column",
"value": "lost"
},
{
"id": 3,
"type": "column",
"value": "won"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 5,
"type": "value",
"value": "80"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
0
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
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": []
}
] |
[
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O"
] |
1,075
|
icfp_1
|
spider:train_spider.json:2880
|
Find the first and last name of the author(s) who wrote the paper "Nameless, Painless".
|
SELECT t1.fname , t1.lname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t3.title = "Nameless , Painless"
|
[
"Find",
"the",
"first",
"and",
"last",
"name",
"of",
"the",
"author(s",
")",
"who",
"wrote",
"the",
"paper",
"\"",
"Nameless",
",",
"Painless",
"\"",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "Nameless , Painless"
},
{
"id": 6,
"type": "table",
"value": "authorship"
},
{
"id": 5,
"type": "table",
"value": "authors"
},
{
"id": 7,
"type": "column",
"value": "paperid"
},
{
"id": 2,
"type": "table",
"value": "papers"
},
{
"id": 8,
"type": "column",
"value": "authid"
},
{
"id": 0,
"type": "column",
"value": "fname"
},
{
"id": 1,
"type": "column",
"value": "lname"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
15,
16,
17
]
},
{
"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",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
1,076
|
farm
|
spider:train_spider.json:37
|
What are the official names of cities that have hosted more than one competition?
|
SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1
|
[
"What",
"are",
"the",
"official",
"names",
"of",
"cities",
"that",
"have",
"hosted",
"more",
"than",
"one",
"competition",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "farm_competition"
},
{
"id": 1,
"type": "column",
"value": "official_name"
},
{
"id": 0,
"type": "column",
"value": "host_city_id"
},
{
"id": 5,
"type": "column",
"value": "city_id"
},
{
"id": 2,
"type": "table",
"value": "city"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"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": []
},
{
"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",
"B-TABLE",
"O"
] |
1,077
|
retail_world
|
bird:train.json:6626
|
How many products supplied by Plutzer Lebensmittelgromrkte AG that is currently out of stock and on order?
|
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Plutzer Lebensmittelgromrkte AG' AND T1.UnitsInStock = 0 AND T1.UnitsOnOrder = 0
|
[
"How",
"many",
"products",
"supplied",
"by",
"Plutzer",
"Lebensmittelgromrkte",
"AG",
"that",
"is",
"currently",
"out",
"of",
"stock",
"and",
"on",
"order",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "Plutzer Lebensmittelgromrkte AG"
},
{
"id": 6,
"type": "column",
"value": "unitsinstock"
},
{
"id": 8,
"type": "column",
"value": "unitsonorder"
},
{
"id": 4,
"type": "column",
"value": "companyname"
},
{
"id": 3,
"type": "column",
"value": "supplierid"
},
{
"id": 1,
"type": "table",
"value": "suppliers"
},
{
"id": 2,
"type": "column",
"value": "productid"
},
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 7,
"type": "value",
"value": "0"
}
] |
[
{
"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": [
5,
6,
7
]
},
{
"entity_id": 6,
"token_idxs": [
13
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
15,
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",
"B-TABLE",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,078
|
soccer_2016
|
bird:train.json:1955
|
How many cities are in U.A.E?
|
SELECT SUM(CASE WHEN T2.Country_Name = 'U.A.E' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN country AS T2 ON T1.Country_id = T2.Country_id
|
[
"How",
"many",
"cities",
"are",
"in",
"U.A.E",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "country_name"
},
{
"id": 2,
"type": "column",
"value": "country_id"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 6,
"type": "value",
"value": "U.A.E"
},
{
"id": 0,
"type": "table",
"value": "city"
},
{
"id": 3,
"type": "value",
"value": "0"
},
{
"id": 4,
"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": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O"
] |
1,079
|
music_platform_2
|
bird:train.json:7924
|
How many people rated 5 for the podcast which title contains the word 'spoiler' under the 'art' category '?
|
SELECT COUNT(T3.podcast_id) FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title LIKE '%spoilers%' AND T1.category = 'arts' AND T3.rating = 5
|
[
"How",
"many",
"people",
"rated",
"5",
"for",
"the",
"podcast",
"which",
"title",
"contains",
"the",
"word",
"'",
"spoiler",
"'",
"under",
"the",
"'",
"art",
"'",
"category",
"'",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "podcast_id"
},
{
"id": 2,
"type": "table",
"value": "categories"
},
{
"id": 5,
"type": "value",
"value": "%spoilers%"
},
{
"id": 3,
"type": "table",
"value": "podcasts"
},
{
"id": 6,
"type": "column",
"value": "category"
},
{
"id": 0,
"type": "table",
"value": "reviews"
},
{
"id": 8,
"type": "column",
"value": "rating"
},
{
"id": 4,
"type": "column",
"value": "title"
},
{
"id": 7,
"type": "value",
"value": "arts"
},
{
"id": 9,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
21
]
},
{
"entity_id": 7,
"token_idxs": [
19
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
4
]
},
{
"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",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O"
] |
1,080
|
bike_share_1
|
bird:train.json:9061
|
How many bikes can be borrowed in San Jose Diridon Caltrain Station at 12:06:01 on 2013/8/29?
|
SELECT T2.bikes_available FROM station AS T1 INNER JOIN status AS T2 ON T1.id = T2.station_id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.time = '2013/08/29 12:06:01'
|
[
"How",
"many",
"bikes",
"can",
"be",
"borrowed",
"in",
"San",
"Jose",
"Diridon",
"Caltrain",
"Station",
"at",
"12:06:01",
"on",
"2013/8/29",
"?"
] |
[
{
"id": 6,
"type": "value",
"value": "San Jose Diridon Caltrain Station"
},
{
"id": 8,
"type": "value",
"value": "2013/08/29 12:06:01"
},
{
"id": 0,
"type": "column",
"value": "bikes_available"
},
{
"id": 4,
"type": "column",
"value": "station_id"
},
{
"id": 1,
"type": "table",
"value": "station"
},
{
"id": 2,
"type": "table",
"value": "status"
},
{
"id": 5,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "time"
},
{
"id": 3,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
7,
8,
9,
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
15
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,081
|
menu
|
bird:train.json:5512
|
State the full height and width for menu called "El Fuerte Del Palmar".
|
SELECT T1.full_height, T1.full_width FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.name = 'El Fuerte Del Palmar'
|
[
"State",
"the",
"full",
"height",
"and",
"width",
"for",
"menu",
"called",
"\"",
"El",
"Fuerte",
"Del",
"Palmar",
"\"",
"."
] |
[
{
"id": 5,
"type": "value",
"value": "El Fuerte Del Palmar"
},
{
"id": 0,
"type": "column",
"value": "full_height"
},
{
"id": 1,
"type": "column",
"value": "full_width"
},
{
"id": 2,
"type": "table",
"value": "menupage"
},
{
"id": 7,
"type": "column",
"value": "menu_id"
},
{
"id": 3,
"type": "table",
"value": "menu"
},
{
"id": 4,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
10,
11,
12,
13
]
},
{
"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",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
1,082
|
ship_mission
|
spider:train_spider.json:4018
|
Show codes and fates of missions, and names of ships involved.
|
SELECT T1.Code , T1.Fate , T2.Name FROM mission AS T1 JOIN ship AS T2 ON T1.Ship_ID = T2.Ship_ID
|
[
"Show",
"codes",
"and",
"fates",
"of",
"missions",
",",
"and",
"names",
"of",
"ships",
"involved",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "mission"
},
{
"id": 5,
"type": "column",
"value": "ship_id"
},
{
"id": 0,
"type": "column",
"value": "code"
},
{
"id": 1,
"type": "column",
"value": "fate"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "table",
"value": "ship"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O"
] |
1,083
|
food_inspection_2
|
bird:train.json:6141
|
What is the full name of the employee with the lowest salary?
|
SELECT first_name, last_name FROM employee ORDER BY salary ASC LIMIT 1
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"employee",
"with",
"the",
"lowest",
"salary",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 0,
"type": "table",
"value": "employee"
},
{
"id": 3,
"type": "column",
"value": "salary"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"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",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,085
|
chinook_1
|
spider:train_spider.json:811
|
Find all the customer information in state NY.
|
SELECT * FROM CUSTOMER WHERE State = "NY"
|
[
"Find",
"all",
"the",
"customer",
"information",
"in",
"state",
"NY",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 1,
"type": "column",
"value": "state"
},
{
"id": 2,
"type": "column",
"value": "NY"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
1,086
|
card_games
|
bird:dev.json:497
|
List the expansion type of the set "Huitième édition".
|
SELECT type FROM sets WHERE code IN ( SELECT setCode FROM set_translations WHERE translation = 'Huitième édition' )
|
[
"List",
"the",
"expansion",
"type",
"of",
"the",
"set",
"\"",
"Huitième",
"édition",
"\"",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "set_translations"
},
{
"id": 6,
"type": "value",
"value": "Huitième édition"
},
{
"id": 5,
"type": "column",
"value": "translation"
},
{
"id": 4,
"type": "column",
"value": "setcode"
},
{
"id": 0,
"type": "table",
"value": "sets"
},
{
"id": 1,
"type": "column",
"value": "type"
},
{
"id": 2,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"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": [
2
]
},
{
"entity_id": 6,
"token_idxs": [
8,
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
1,087
|
movies_4
|
bird:train.json:533
|
What is the title of the movie with the most keywords?
|
SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id GROUP BY T1.title ORDER BY COUNT(T2.keyword_id) DESC LIMIT 1
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"movie",
"with",
"the",
"most",
"keywords",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "movie_keywords"
},
{
"id": 4,
"type": "column",
"value": "keyword_id"
},
{
"id": 3,
"type": "column",
"value": "movie_id"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 1,
"type": "table",
"value": "movie"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"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",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
1,088
|
restaurant_1
|
spider:train_spider.json:2827
|
What is the gender of the student Linda Smith?
|
SELECT Sex FROM Student WHERE Fname = "Linda" AND Lname = "Smith";
|
[
"What",
"is",
"the",
"gender",
"of",
"the",
"student",
"Linda",
"Smith",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 2,
"type": "column",
"value": "fname"
},
{
"id": 3,
"type": "column",
"value": "Linda"
},
{
"id": 4,
"type": "column",
"value": "lname"
},
{
"id": 5,
"type": "column",
"value": "Smith"
},
{
"id": 1,
"type": "column",
"value": "sex"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"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": [
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",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O"
] |
1,089
|
movies_4
|
bird:train.json:469
|
List the title of movies in Latin released between 1/01/1990 and 12/31/1995.
|
SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31'
|
[
"List",
"the",
"title",
"of",
"movies",
"in",
"Latin",
"released",
"between",
"1/01/1990",
"and",
"12/31/1995",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "movie_languages"
},
{
"id": 5,
"type": "column",
"value": "language_name"
},
{
"id": 7,
"type": "column",
"value": "release_date"
},
{
"id": 4,
"type": "column",
"value": "language_id"
},
{
"id": 8,
"type": "value",
"value": "1990-01-01"
},
{
"id": 9,
"type": "value",
"value": "1995-12-31"
},
{
"id": 1,
"type": "table",
"value": "language"
},
{
"id": 10,
"type": "column",
"value": "movie_id"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "table",
"value": "movie"
},
{
"id": 6,
"type": "value",
"value": "Latin"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": [
7
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
5
]
},
{
"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",
"B-COLUMN",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
1,090
|
conference
|
bird:test.json:1075
|
Show institution name which there is no staff in our record.
|
SELECT institution_name FROM institution WHERE institution_id NOT IN (SELECT institution_id FROM staff)
|
[
"Show",
"institution",
"name",
"which",
"there",
"is",
"no",
"staff",
"in",
"our",
"record",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "institution_name"
},
{
"id": 2,
"type": "column",
"value": "institution_id"
},
{
"id": 0,
"type": "table",
"value": "institution"
},
{
"id": 3,
"type": "table",
"value": "staff"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
1,091
|
financial
|
bird:dev.json:170
|
How many credit card withdrawals were recorded after 1995?
|
SELECT COUNT(account_id) FROM trans WHERE STRFTIME('%Y', date) > '1995' AND operation = 'VYBER KARTOU'
|
[
"How",
"many",
"credit",
"card",
"withdrawals",
"were",
"recorded",
"after",
"1995",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "VYBER KARTOU"
},
{
"id": 1,
"type": "column",
"value": "account_id"
},
{
"id": 3,
"type": "column",
"value": "operation"
},
{
"id": 0,
"type": "table",
"value": "trans"
},
{
"id": 2,
"type": "value",
"value": "1995"
},
{
"id": 6,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"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": [
7
]
},
{
"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",
"B-VALUE",
"O"
] |
1,092
|
works_cycles
|
bird:train.json:7077
|
Among the employees who are married and wish to receive e-mail promotions, how much higher is their highest pay rate from the average pay rate?
|
SELECT MAX(T1.Rate) - SUM(T1.Rate) / COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T2.EmailPromotion = 2 AND T3.MaritalStatus = 'M'
|
[
"Among",
"the",
"employees",
"who",
"are",
"married",
"and",
"wish",
"to",
"receive",
"e",
"-",
"mail",
"promotions",
",",
"how",
"much",
"higher",
"is",
"their",
"highest",
"pay",
"rate",
"from",
"the",
"average",
"pay",
"rate",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "employeepayhistory"
},
{
"id": 3,
"type": "column",
"value": "businessentityid"
},
{
"id": 4,
"type": "column",
"value": "emailpromotion"
},
{
"id": 6,
"type": "column",
"value": "maritalstatus"
},
{
"id": 0,
"type": "table",
"value": "employee"
},
{
"id": 2,
"type": "table",
"value": "person"
},
{
"id": 8,
"type": "column",
"value": "rate"
},
{
"id": 5,
"type": "value",
"value": "2"
},
{
"id": 7,
"type": "value",
"value": "M"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11,
12,
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
27
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,093
|
public_review_platform
|
bird:train.json:3761
|
How many users have "uber" number of fans?
|
SELECT COUNT(user_id) FROM Users WHERE user_fans LIKE 'Uber'
|
[
"How",
"many",
"users",
"have",
"\"",
"uber",
"\"",
"number",
"of",
"fans",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "user_fans"
},
{
"id": 3,
"type": "column",
"value": "user_id"
},
{
"id": 0,
"type": "table",
"value": "users"
},
{
"id": 2,
"type": "value",
"value": "Uber"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
1,094
|
language_corpus
|
bird:train.json:5742
|
Which Wikipedia page number has the highest number of words in the Catalan language?
|
SELECT page FROM pages WHERE words = ( SELECT MAX(words) FROM pages )
|
[
"Which",
"Wikipedia",
"page",
"number",
"has",
"the",
"highest",
"number",
"of",
"words",
"in",
"the",
"Catalan",
"language",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "pages"
},
{
"id": 2,
"type": "column",
"value": "words"
},
{
"id": 1,
"type": "column",
"value": "page"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
1,095
|
human_resources
|
bird:train.json:8958
|
What is Kenneth Charles's position title?
|
SELECT T2.positiontitle FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Kenneth' AND T1.lastname = 'Charles'
|
[
"What",
"is",
"Kenneth",
"Charles",
"'s",
"position",
"title",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "positiontitle"
},
{
"id": 3,
"type": "column",
"value": "positionid"
},
{
"id": 4,
"type": "column",
"value": "firstname"
},
{
"id": 1,
"type": "table",
"value": "employee"
},
{
"id": 2,
"type": "table",
"value": "position"
},
{
"id": 6,
"type": "column",
"value": "lastname"
},
{
"id": 5,
"type": "value",
"value": "Kenneth"
},
{
"id": 7,
"type": "value",
"value": "Charles"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
3
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"B-VALUE",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
1,096
|
apartment_rentals
|
spider:train_spider.json:1198
|
Show all distinct building descriptions.
|
SELECT DISTINCT building_description FROM Apartment_Buildings
|
[
"Show",
"all",
"distinct",
"building",
"descriptions",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "building_description"
},
{
"id": 0,
"type": "table",
"value": "apartment_buildings"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O"
] |
1,097
|
party_host
|
spider:train_spider.json:2674
|
Show the most common nationality of hosts.
|
SELECT Nationality FROM HOST GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1
|
[
"Show",
"the",
"most",
"common",
"nationality",
"of",
"hosts",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "nationality"
},
{
"id": 0,
"type": "table",
"value": "host"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
1,098
|
voter_2
|
spider:train_spider.json:5511
|
Find the major that is studied by the most female students.
|
SELECT Major FROM STUDENT WHERE Sex = "F" GROUP BY major ORDER BY count(*) DESC LIMIT 1
|
[
"Find",
"the",
"major",
"that",
"is",
"studied",
"by",
"the",
"most",
"female",
"students",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 1,
"type": "column",
"value": "major"
},
{
"id": 2,
"type": "column",
"value": "sex"
},
{
"id": 3,
"type": "column",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"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",
"B-TABLE",
"O"
] |
1,099
|
law_episode
|
bird:train.json:1266
|
Who was nominated for award no.313? Give the full name.
|
SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award_id = 313
|
[
"Who",
"was",
"nominated",
"for",
"award",
"no.313",
"?",
"Give",
"the",
"full",
"name",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "person_id"
},
{
"id": 3,
"type": "column",
"value": "award_id"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 2,
"type": "table",
"value": "award"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "313"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,100
|
manufactory_1
|
spider:train_spider.json:5311
|
What is the total revenue of each manufacturer?
|
SELECT sum(revenue) , name FROM manufacturers GROUP BY name
|
[
"What",
"is",
"the",
"total",
"revenue",
"of",
"each",
"manufacturer",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "manufacturers"
},
{
"id": 2,
"type": "column",
"value": "revenue"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
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",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
1,101
|
conference
|
bird:test.json:1074
|
For each institution id , how many staff members does each institution have that was founded after 1800 ? return their names .
|
select t1.institution_name , count(*) from institution as t1 join staff as t2 on t1.institution_id = t2.institution_id where t1.founded > 1800 group by t2.institution_id
|
[
"For",
"each",
"institution",
"i",
"d",
",",
"how",
"many",
"staff",
"members",
"does",
"each",
"institution",
"have",
"that",
"was",
"founded",
"after",
"1800",
"?",
"return",
"their",
"names",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "institution_name"
},
{
"id": 0,
"type": "column",
"value": "institution_id"
},
{
"id": 2,
"type": "table",
"value": "institution"
},
{
"id": 4,
"type": "column",
"value": "founded"
},
{
"id": 3,
"type": "table",
"value": "staff"
},
{
"id": 5,
"type": "value",
"value": "1800"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
16
]
},
{
"entity_id": 5,
"token_idxs": [
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",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
1,102
|
book_1
|
bird:test.json:575
|
What is the title of the book written by George Orwell that has the lowest sale price?
|
SELECT T1.title FROM Book AS T1 JOIN Author_book AS T2 ON T1.isbn = T2.isbn JOIN Author AS T3 ON T2.Author = T3.idAuthor WHERE T3.name = "George Orwell" ORDER BY T1.saleprice LIMIT 1
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"book",
"written",
"by",
"George",
"Orwell",
"that",
"has",
"the",
"lowest",
"sale",
"price",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "George Orwell"
},
{
"id": 6,
"type": "table",
"value": "author_book"
},
{
"id": 4,
"type": "column",
"value": "saleprice"
},
{
"id": 8,
"type": "column",
"value": "idauthor"
},
{
"id": 1,
"type": "table",
"value": "author"
},
{
"id": 7,
"type": "column",
"value": "author"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "table",
"value": "book"
},
{
"id": 9,
"type": "column",
"value": "isbn"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": [
15,
16
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
1
]
},
{
"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-TABLE",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,103
|
sales_in_weather
|
bird:train.json:8211
|
What was the difference of number of units sold in station number 1 and number 2 on year 2012?
|
SELECT SUM(CASE WHEN T1.station_nbr = 1 THEN units ELSE 0 END) - SUM(CASE WHEN T1.station_nbr = 2 THEN units ELSE 0 END) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.`date` LIKE '%2012%'
|
[
"What",
"was",
"the",
"difference",
"of",
"number",
"of",
"units",
"sold",
"in",
"station",
"number",
"1",
"and",
"number",
"2",
"on",
"year",
"2012",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "sales_in_weather"
},
{
"id": 7,
"type": "column",
"value": "station_nbr"
},
{
"id": 4,
"type": "column",
"value": "store_nbr"
},
{
"id": 0,
"type": "table",
"value": "relation"
},
{
"id": 3,
"type": "value",
"value": "%2012%"
},
{
"id": 6,
"type": "column",
"value": "units"
},
{
"id": 2,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "value",
"value": "0"
},
{
"id": 8,
"type": "value",
"value": "1"
},
{
"id": 9,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
18
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": [
12
]
},
{
"entity_id": 9,
"token_idxs": [
15
]
},
{
"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",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O"
] |
1,105
|
public_review_platform
|
bird:train.json:3780
|
How many "5" star reviews does the Yelp business No. "10682" get?
|
SELECT COUNT(review_length) FROM Reviews WHERE business_id = 10682 AND review_stars = 5
|
[
"How",
"many",
"\"",
"5",
"\"",
"star",
"reviews",
"does",
"the",
"Yelp",
"business",
"No",
".",
"\"",
"10682",
"\"",
"get",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "review_length"
},
{
"id": 4,
"type": "column",
"value": "review_stars"
},
{
"id": 2,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "table",
"value": "reviews"
},
{
"id": 3,
"type": "value",
"value": "10682"
},
{
"id": 5,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
7,
8
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
1,106
|
program_share
|
spider:train_spider.json:3750
|
find the number of different programs that are broadcast during night time.
|
SELECT count(DISTINCT program_id) FROM broadcast WHERE time_of_day = 'Night'
|
[
"find",
"the",
"number",
"of",
"different",
"programs",
"that",
"are",
"broadcast",
"during",
"night",
"time",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "time_of_day"
},
{
"id": 3,
"type": "column",
"value": "program_id"
},
{
"id": 0,
"type": "table",
"value": "broadcast"
},
{
"id": 2,
"type": "value",
"value": "Night"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O"
] |
1,107
|
chicago_crime
|
bird:train.json:8631
|
How many solicit on public way prostitution crimes were arrested in West Garfield Park?
|
SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN IUCR AS T3 ON T2.iucr_no = T3.iucr_no WHERE T1.community_area_name = 'West Garfield Park' AND T3.secondary_description = 'SOLICIT ON PUBLIC WAY' AND T3.primary_description = 'PROSTITUTION'
|
[
"How",
"many",
"solicit",
"on",
"public",
"way",
"prostitution",
"crimes",
"were",
"arrested",
"in",
"West",
"Garfield",
"Park",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "secondary_description"
},
{
"id": 7,
"type": "value",
"value": "SOLICIT ON PUBLIC WAY"
},
{
"id": 4,
"type": "column",
"value": "community_area_name"
},
{
"id": 8,
"type": "column",
"value": "primary_description"
},
{
"id": 5,
"type": "value",
"value": "West Garfield Park"
},
{
"id": 11,
"type": "column",
"value": "community_area_no"
},
{
"id": 1,
"type": "table",
"value": "community_area"
},
{
"id": 9,
"type": "value",
"value": "PROSTITUTION"
},
{
"id": 3,
"type": "column",
"value": "iucr_no"
},
{
"id": 13,
"type": "column",
"value": "arrest"
},
{
"id": 2,
"type": "table",
"value": "crime"
},
{
"id": 0,
"type": "table",
"value": "iucr"
},
{
"id": 14,
"type": "value",
"value": "TRUE"
},
{
"id": 10,
"type": "value",
"value": "0"
},
{
"id": 12,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
11,
12,
13
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
2,
3,
4,
5
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
6
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": [
9
]
},
{
"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",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-VALUE",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
1,108
|
toxicology
|
bird:dev.json:225
|
Please list top five molecules that have double bonds in alphabetical order.
|
SELECT DISTINCT T.molecule_id FROM bond AS T WHERE T.bond_type = '=' ORDER BY T.molecule_id LIMIT 5
|
[
"Please",
"list",
"top",
"five",
"molecules",
"that",
"have",
"double",
"bonds",
"in",
"alphabetical",
"order",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "molecule_id"
},
{
"id": 2,
"type": "column",
"value": "bond_type"
},
{
"id": 0,
"type": "table",
"value": "bond"
},
{
"id": 3,
"type": "value",
"value": "="
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
1,109
|
menu
|
bird:train.json:5489
|
How many dishes are included in the menu page ID 144?
|
SELECT COUNT(*) FROM MenuItem WHERE menu_page_id = 144
|
[
"How",
"many",
"dishes",
"are",
"included",
"in",
"the",
"menu",
"page",
"ID",
"144",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "menu_page_id"
},
{
"id": 0,
"type": "table",
"value": "menuitem"
},
{
"id": 2,
"type": "value",
"value": "144"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
8,
9
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
1,110
|
baseball_1
|
spider:train_spider.json:3710
|
Which park did the most people attend in 2008?
|
SELECT T2.park_name FROM home_game AS T1 JOIN park AS T2 ON T1.park_id = T2.park_id WHERE T1.year = 2008 ORDER BY T1.attendance DESC LIMIT 1;
|
[
"Which",
"park",
"did",
"the",
"most",
"people",
"attend",
"in",
"2008",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "attendance"
},
{
"id": 0,
"type": "column",
"value": "park_name"
},
{
"id": 1,
"type": "table",
"value": "home_game"
},
{
"id": 6,
"type": "column",
"value": "park_id"
},
{
"id": 2,
"type": "table",
"value": "park"
},
{
"id": 3,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "value",
"value": "2008"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
1
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
2
]
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,111
|
thrombosis_prediction
|
bird:dev.json:1256
|
How many patients with a abnormal C-reactive protein don't have their data recorded?
|
SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE (T2.CRP = '+' ) AND T1.Description IS NULL
|
[
"How",
"many",
"patients",
"with",
"a",
"abnormal",
"C",
"-",
"reactive",
"protein",
"do",
"n't",
"have",
"their",
"data",
"recorded",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "laboratory"
},
{
"id": 0,
"type": "table",
"value": "patient"
},
{
"id": 3,
"type": "column",
"value": "crp"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 4,
"type": "value",
"value": "+"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,112
|
advertising_agencies
|
bird:test.json:2119
|
Show the agency ids and the number of staff in each agent?
|
SELECT agency_id , count(*) FROM Staff GROUP BY agency_id
|
[
"Show",
"the",
"agency",
"ids",
"and",
"the",
"number",
"of",
"staff",
"in",
"each",
"agent",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "agency_id"
},
{
"id": 0,
"type": "table",
"value": "staff"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
1,114
|
car_retails
|
bird:train.json:1566
|
Please calculate the total payment amount of customers who come from the USA.
|
SELECT SUM(T1.amount) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.country = 'USA'
|
[
"Please",
"calculate",
"the",
"total",
"payment",
"amount",
"of",
"customers",
"who",
"come",
"from",
"the",
"USA",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "customernumber"
},
{
"id": 1,
"type": "table",
"value": "customers"
},
{
"id": 0,
"type": "table",
"value": "payments"
},
{
"id": 2,
"type": "column",
"value": "country"
},
{
"id": 4,
"type": "column",
"value": "amount"
},
{
"id": 3,
"type": "value",
"value": "USA"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,115
|
flight_1
|
spider:train_spider.json:438
|
What is the salaray and name of the employee with the most certificates to fly planes more than 5000?
|
SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.distance > 5000 GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"salaray",
"and",
"name",
"of",
"the",
"employee",
"with",
"the",
"most",
"certificates",
"to",
"fly",
"planes",
"more",
"than",
"5000",
"?"
] |
[
{
"id": 6,
"type": "table",
"value": "certificate"
},
{
"id": 2,
"type": "table",
"value": "aircraft"
},
{
"id": 3,
"type": "column",
"value": "distance"
},
{
"id": 5,
"type": "table",
"value": "employee"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "5000"
},
{
"id": 0,
"type": "column",
"value": "eid"
},
{
"id": 7,
"type": "column",
"value": "aid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
18
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
12
]
},
{
"entity_id": 7,
"token_idxs": [
4
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,116
|
music_platform_2
|
bird:train.json:7931
|
Name the podcast title, rating and review content created by '76A4C24B6038145'.
|
SELECT T2.title, T2.rating, T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = '76A4C24B6038145'
|
[
"Name",
"the",
"podcast",
"title",
",",
"rating",
"and",
"review",
"content",
"created",
"by",
"'",
"76A4C24B6038145",
"'",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "76A4C24B6038145"
},
{
"id": 7,
"type": "column",
"value": "podcast_id"
},
{
"id": 5,
"type": "column",
"value": "author_id"
},
{
"id": 3,
"type": "table",
"value": "podcasts"
},
{
"id": 2,
"type": "column",
"value": "content"
},
{
"id": 4,
"type": "table",
"value": "reviews"
},
{
"id": 1,
"type": "column",
"value": "rating"
},
{
"id": 0,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
12
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,117
|
inn_1
|
spider:train_spider.json:2580
|
How many times does ROY SWEAZY has reserved a room.
|
SELECT count(*) FROM Reservations WHERE FirstName = "ROY" AND LastName = "SWEAZY";
|
[
"How",
"many",
"times",
"does",
"ROY",
"SWEAZY",
"has",
"reserved",
"a",
"room",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "reservations"
},
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 3,
"type": "column",
"value": "lastname"
},
{
"id": 4,
"type": "column",
"value": "SWEAZY"
},
{
"id": 2,
"type": "column",
"value": "ROY"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7,
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O"
] |
1,118
|
student_loan
|
bird:train.json:4514
|
How many male students filed for bankruptcy as compare to female students?
|
SELECT COUNT(T2.name) - SUM(IIF(T2.name IS NULL, 1, 0)) AS num FROM filed_for_bankrupcy AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name
|
[
"How",
"many",
"male",
"students",
"filed",
"for",
"bankruptcy",
"as",
"compare",
"to",
"female",
"students",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "filed_for_bankrupcy"
},
{
"id": 1,
"type": "table",
"value": "male"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "1"
},
{
"id": 4,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4,
5,
6
]
},
{
"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-TABLE",
"O",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,119
|
manufactory_1
|
spider:train_spider.json:5329
|
What is all the information of all the products that have a price between 60 and 120?
|
SELECT * FROM products WHERE price BETWEEN 60 AND 120
|
[
"What",
"is",
"all",
"the",
"information",
"of",
"all",
"the",
"products",
"that",
"have",
"a",
"price",
"between",
"60",
"and",
"120",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 1,
"type": "column",
"value": "price"
},
{
"id": 3,
"type": "value",
"value": "120"
},
{
"id": 2,
"type": "value",
"value": "60"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
14
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,120
|
card_games
|
bird:dev.json:353
|
List all the sets available in Italian translation. State the total number of cards per set.
|
SELECT T1.name, T1.totalSetSize FROM sets AS T1 INNER JOIN set_translations AS T2 ON T1.code = T2.setCode WHERE T2.language = 'Italian'
|
[
"List",
"all",
"the",
"sets",
"available",
"in",
"Italian",
"translation",
".",
"State",
"the",
"total",
"number",
"of",
"cards",
"per",
"set",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "set_translations"
},
{
"id": 1,
"type": "column",
"value": "totalsetsize"
},
{
"id": 4,
"type": "column",
"value": "language"
},
{
"id": 5,
"type": "value",
"value": "Italian"
},
{
"id": 7,
"type": "column",
"value": "setcode"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "table",
"value": "sets"
},
{
"id": 6,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,121
|
roller_coaster
|
spider:train_spider.json:6215
|
Show the names of countries that have more than one roller coaster.
|
SELECT T1.Name FROM country AS T1 JOIN roller_coaster AS T2 ON T1.Country_ID = T2.Country_ID GROUP BY T1.Name HAVING COUNT(*) > 1
|
[
"Show",
"the",
"names",
"of",
"countries",
"that",
"have",
"more",
"than",
"one",
"roller",
"coaster",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "roller_coaster"
},
{
"id": 4,
"type": "column",
"value": "country_id"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
10,
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
1,123
|
car_retails
|
bird:train.json:1544
|
List the country and how many customers are there.
|
SELECT country, COUNT(customerNumber) FROM customers GROUP BY country
|
[
"List",
"the",
"country",
"and",
"how",
"many",
"customers",
"are",
"there",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "customernumber"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 1,
"type": "column",
"value": "country"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O"
] |
1,125
|
formula_1
|
bird:dev.json:849
|
Where can the introduction of the races held on Circuit de Barcelona-Catalunya be found?
|
SELECT DISTINCT T1.url FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T1.name = 'Circuit de Barcelona-Catalunya'
|
[
"Where",
"can",
"the",
"introduction",
"of",
"the",
"races",
"held",
"on",
"Circuit",
"de",
"Barcelona",
"-",
"Catalunya",
"be",
"found",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Circuit de Barcelona-Catalunya"
},
{
"id": 5,
"type": "column",
"value": "circuitid"
},
{
"id": 1,
"type": "table",
"value": "circuits"
},
{
"id": 2,
"type": "table",
"value": "races"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 0,
"type": "column",
"value": "url"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11,
12,
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
1,126
|
regional_sales
|
bird:train.json:2604
|
Among the sales team in South region, write down the numbers of orders made by the sales team ID of one digit.
|
SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'South' AND T2.SalesTeamID BETWEEN 1 AND 9 GROUP BY T2.SalesTeamID HAVING COUNT(T1.OrderNumber)
|
[
"Among",
"the",
"sales",
"team",
"in",
"South",
"region",
",",
"write",
"down",
"the",
"numbers",
"of",
"orders",
"made",
"by",
"the",
"sales",
"team",
"ID",
"of",
"one",
"digit",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "Sales Orders"
},
{
"id": 4,
"type": "column",
"value": "_salesteamid"
},
{
"id": 0,
"type": "column",
"value": "salesteamid"
},
{
"id": 3,
"type": "column",
"value": "ordernumber"
},
{
"id": 2,
"type": "table",
"value": "Sales Team"
},
{
"id": 5,
"type": "column",
"value": "region"
},
{
"id": 6,
"type": "value",
"value": "South"
},
{
"id": 7,
"type": "value",
"value": "1"
},
{
"id": 8,
"type": "value",
"value": "9"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
17,
18,
19
]
},
{
"entity_id": 1,
"token_idxs": [
12,
13
]
},
{
"entity_id": 2,
"token_idxs": [
2,
3
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"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",
"I-TABLE",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
1,128
|
network_2
|
spider:train_spider.json:4400
|
How many females does this network has?
|
SELECT count(*) FROM Person WHERE gender = 'female'
|
[
"How",
"many",
"females",
"does",
"this",
"network",
"has",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 1,
"type": "column",
"value": "gender"
},
{
"id": 2,
"type": "value",
"value": "female"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
1,129
|
insurance_policies
|
spider:train_spider.json:3853
|
Give me the the customer details and id for the customers who had two or more policies but did not file any claims.
|
SELECT T1.customer_details , T1.customer_id FROM Customers AS T1 JOIN Customer_Policies AS T2 ON T1.Customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2 EXCEPT SELECT T1.customer_details , T1.customer_id FROM Customers AS T1 JOIN Customer_Policies AS T2 ON T1.Customer_id = T2.customer_id JOIN Claims AS T3 ON T2.policy_id = T3.policy_id
|
[
"Give",
"me",
"the",
"the",
"customer",
"details",
"and",
"i",
"d",
"for",
"the",
"customers",
"who",
"had",
"two",
"or",
"more",
"policies",
"but",
"did",
"not",
"file",
"any",
"claims",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "customer_policies"
},
{
"id": 1,
"type": "column",
"value": "customer_details"
},
{
"id": 0,
"type": "column",
"value": "customer_id"
},
{
"id": 2,
"type": "table",
"value": "customers"
},
{
"id": 6,
"type": "column",
"value": "policy_id"
},
{
"id": 5,
"type": "table",
"value": "claims"
},
{
"id": 4,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
15,
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
23
]
},
{
"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",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,130
|
culture_company
|
spider:train_spider.json:6970
|
Show all publishers and the number of books for each publisher.
|
SELECT publisher , count(*) FROM book_club GROUP BY publisher
|
[
"Show",
"all",
"publishers",
"and",
"the",
"number",
"of",
"books",
"for",
"each",
"publisher",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "book_club"
},
{
"id": 1,
"type": "column",
"value": "publisher"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,131
|
law_episode
|
bird:train.json:1281
|
Among the episodes that were aired in 1998, how many won an International Monitor Awards?
|
SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE strftime('%Y', T1.air_date) = '1998' AND T2.organization = 'International Monitor Awards' AND T2.result = 'Winner'
|
[
"Among",
"the",
"episodes",
"that",
"were",
"aired",
"in",
"1998",
",",
"how",
"many",
"won",
"an",
"International",
"Monitor",
"Awards",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "International Monitor Awards"
},
{
"id": 4,
"type": "column",
"value": "organization"
},
{
"id": 2,
"type": "column",
"value": "episode_id"
},
{
"id": 9,
"type": "column",
"value": "air_date"
},
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 6,
"type": "column",
"value": "result"
},
{
"id": 7,
"type": "value",
"value": "Winner"
},
{
"id": 1,
"type": "table",
"value": "award"
},
{
"id": 3,
"type": "value",
"value": "1998"
},
{
"id": 8,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
15
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13,
14
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
4
]
},
{
"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-TABLE",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
1,132
|
government_shift
|
bird:test.json:383
|
Find all the details of the customers who have been involved in an interaction with status `` Stuck '' and service and channel detail `` bad '' .
|
select t1.customer_details from customers as t1 join customer_interactions as t2 on t1.customer_id = t2.customer_id where t2.status_code = "stuck" and services_and_channels_details = "bad"
|
[
"Find",
"all",
"the",
"details",
"of",
"the",
"customers",
"who",
"have",
"been",
"involved",
"in",
"an",
"interaction",
"with",
"status",
"`",
"`",
"Stuck",
"''",
"and",
"service",
"and",
"channel",
"detail",
"`",
"`",
"bad",
"''",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "services_and_channels_details"
},
{
"id": 2,
"type": "table",
"value": "customer_interactions"
},
{
"id": 0,
"type": "column",
"value": "customer_details"
},
{
"id": 3,
"type": "column",
"value": "customer_id"
},
{
"id": 4,
"type": "column",
"value": "status_code"
},
{
"id": 1,
"type": "table",
"value": "customers"
},
{
"id": 5,
"type": "column",
"value": "stuck"
},
{
"id": 7,
"type": "column",
"value": "bad"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": [
18
]
},
{
"entity_id": 6,
"token_idxs": [
21,
22,
23,
24
]
},
{
"entity_id": 7,
"token_idxs": [
27
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
1,134
|
bike_share_1
|
bird:train.json:8993
|
Name all the trips where the bike was borrowed and returned on a different day. State the city where the bike was returned.
|
SELECT DISTINCT T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, '/') + 1) - SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, ' ') - 5) <> SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, '/') + 1) - SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, ' ') - 5)
|
[
"Name",
"all",
"the",
"trips",
"where",
"the",
"bike",
"was",
"borrowed",
"and",
"returned",
"on",
"a",
"different",
"day",
".",
"State",
"the",
"city",
"where",
"the",
"bike",
"was",
"returned",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "start_station_name"
},
{
"id": 5,
"type": "column",
"value": "start_date"
},
{
"id": 8,
"type": "column",
"value": "end_date"
},
{
"id": 1,
"type": "table",
"value": "station"
},
{
"id": 0,
"type": "column",
"value": "city"
},
{
"id": 2,
"type": "table",
"value": "trip"
},
{
"id": 4,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "5"
},
{
"id": 9,
"type": "value",
"value": "/"
},
{
"id": 10,
"type": "value",
"value": " "
}
] |
[
{
"entity_id": 0,
"token_idxs": [
18
]
},
{
"entity_id": 1,
"token_idxs": [
16
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
0
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,135
|
shooting
|
bird:train.json:2471
|
For case number '134472-2015', list the last name of the officers involved and state the subject statuses.
|
SELECT T2.last_name, T1.subject_statuses FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '134472-2015'
|
[
"For",
"case",
"number",
"'",
"134472",
"-",
"2015",
"'",
",",
"list",
"the",
"last",
"name",
"of",
"the",
"officers",
"involved",
"and",
"state",
"the",
"subject",
"statuses",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "subject_statuses"
},
{
"id": 4,
"type": "column",
"value": "case_number"
},
{
"id": 5,
"type": "value",
"value": "134472-2015"
},
{
"id": 0,
"type": "column",
"value": "last_name"
},
{
"id": 2,
"type": "table",
"value": "incidents"
},
{
"id": 3,
"type": "table",
"value": "officers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11,
12
]
},
{
"entity_id": 1,
"token_idxs": [
20,
21
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": [
1,
2
]
},
{
"entity_id": 5,
"token_idxs": [
4,
5,
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",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,136
|
real_estate_rentals
|
bird:test.json:1446
|
How many properties are there with at least 2 features?
|
SELECT count(*) FROM Properties GROUP BY property_id HAVING count(*) >= 2;
|
[
"How",
"many",
"properties",
"are",
"there",
"with",
"at",
"least",
"2",
"features",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "property_id"
},
{
"id": 0,
"type": "table",
"value": "properties"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"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",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,138
|
apartment_rentals
|
spider:train_spider.json:1214
|
Return the apartment numbers of the apartments with type code "Flat".
|
SELECT apt_number FROM Apartments WHERE apt_type_code = "Flat"
|
[
"Return",
"the",
"apartment",
"numbers",
"of",
"the",
"apartments",
"with",
"type",
"code",
"\"",
"Flat",
"\"",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "apt_type_code"
},
{
"id": 0,
"type": "table",
"value": "apartments"
},
{
"id": 1,
"type": "column",
"value": "apt_number"
},
{
"id": 3,
"type": "column",
"value": "Flat"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O"
] |
1,140
|
cookbook
|
bird:train.json:8868
|
How many calories does the recipe "Raspberry Chiffon Pie" contain?
|
SELECT T2.calories FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'
|
[
"How",
"many",
"calories",
"does",
"the",
"recipe",
"\"",
"Raspberry",
"Chiffon",
"Pie",
"\"",
"contain",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Raspberry Chiffon Pie"
},
{
"id": 2,
"type": "table",
"value": "nutrition"
},
{
"id": 5,
"type": "column",
"value": "recipe_id"
},
{
"id": 0,
"type": "column",
"value": "calories"
},
{
"id": 1,
"type": "table",
"value": "recipe"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
7,
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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
1,141
|
e_learning
|
spider:train_spider.json:3849
|
What are the personal names used both by some course authors and some students?
|
SELECT personal_name FROM Course_Authors_and_Tutors INTERSECT SELECT personal_name FROM Students
|
[
"What",
"are",
"the",
"personal",
"names",
"used",
"both",
"by",
"some",
"course",
"authors",
"and",
"some",
"students",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "course_authors_and_tutors"
},
{
"id": 2,
"type": "column",
"value": "personal_name"
},
{
"id": 1,
"type": "table",
"value": "students"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9,
10,
11
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"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-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"O",
"B-TABLE",
"O"
] |
1,142
|
retail_world
|
bird:train.json:6329
|
How much lower in percentage is the unit price of Ikura in order no. 10273 than its standard unit price?
|
SELECT CAST((T1.UnitPrice - T2.UnitPrice) AS REAL) * 100 / T1.UnitPrice FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura'
|
[
"How",
"much",
"lower",
"in",
"percentage",
"is",
"the",
"unit",
"price",
"of",
"Ikura",
"in",
"order",
"no",
".",
"10273",
"than",
"its",
"standard",
"unit",
"price",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "Order Details"
},
{
"id": 6,
"type": "column",
"value": "productname"
},
{
"id": 2,
"type": "column",
"value": "unitprice"
},
{
"id": 3,
"type": "column",
"value": "productid"
},
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 4,
"type": "column",
"value": "orderid"
},
{
"id": 5,
"type": "value",
"value": "10273"
},
{
"id": 7,
"type": "value",
"value": "Ikura"
},
{
"id": 8,
"type": "value",
"value": "100"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7,
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
10
]
},
{
"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",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,143
|
planet_1
|
bird:test.json:1869
|
List all package numbers received by Leo Wong ?
|
select t1.packagenumber from package as t1 join client as t2 on t1.recipient = t2.accountnumber where t2.name = "leo wong";
|
[
"List",
"all",
"package",
"numbers",
"received",
"by",
"Leo",
"Wong",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "packagenumber"
},
{
"id": 6,
"type": "column",
"value": "accountnumber"
},
{
"id": 5,
"type": "column",
"value": "recipient"
},
{
"id": 4,
"type": "column",
"value": "leo wong"
},
{
"id": 1,
"type": "table",
"value": "package"
},
{
"id": 2,
"type": "table",
"value": "client"
},
{
"id": 3,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
0
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
6,
7
]
},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
"entity_id": 6,
"token_idxs": [
3
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,144
|
medicine_enzyme_interaction
|
spider:train_spider.json:942
|
What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?
|
SELECT product , chromosome , porphyria FROM enzyme WHERE LOCATION = 'Cytosol'
|
[
"What",
"is",
"the",
"product",
",",
"chromosome",
",",
"and",
"porphyria",
"of",
"the",
"enzymes",
"located",
"at",
"'",
"Cytosol",
"'",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "chromosome"
},
{
"id": 3,
"type": "column",
"value": "porphyria"
},
{
"id": 4,
"type": "column",
"value": "location"
},
{
"id": 1,
"type": "column",
"value": "product"
},
{
"id": 5,
"type": "value",
"value": "Cytosol"
},
{
"id": 0,
"type": "table",
"value": "enzyme"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,145
|
retail_world
|
bird:train.json:6480
|
What is the average sales for each categories?
|
SELECT AVG(ProductSales) FROM `Sales by Category` GROUP BY CategoryName
|
[
"What",
"is",
"the",
"average",
"sales",
"for",
"each",
"categories",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "Sales by Category"
},
{
"id": 1,
"type": "column",
"value": "categoryname"
},
{
"id": 2,
"type": "column",
"value": "productsales"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5,
6
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
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",
"O",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O"
] |
1,147
|
sakila_1
|
spider:train_spider.json:2928
|
What is the most popular full name of the actors?
|
SELECT first_name , last_name FROM actor GROUP BY first_name , last_name ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"most",
"popular",
"full",
"name",
"of",
"the",
"actors",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 0,
"type": "table",
"value": "actor"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"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",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
1,148
|
university_rank
|
bird:test.json:1790
|
What is the name and rank of every university in Wisconsin?
|
SELECT T1.university_name , T2.rank FROM University AS T1 JOIN Overall_ranking AS T2 ON T1.university_id = T2.university_id WHERE T1.state = 'Wisconsin'
|
[
"What",
"is",
"the",
"name",
"and",
"rank",
"of",
"every",
"university",
"in",
"Wisconsin",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "university_name"
},
{
"id": 3,
"type": "table",
"value": "overall_ranking"
},
{
"id": 6,
"type": "column",
"value": "university_id"
},
{
"id": 2,
"type": "table",
"value": "university"
},
{
"id": 5,
"type": "value",
"value": "Wisconsin"
},
{
"id": 4,
"type": "column",
"value": "state"
},
{
"id": 1,
"type": "column",
"value": "rank"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
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-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
1,149
|
authors
|
bird:train.json:3599
|
List the short name and home page URL of all the international conferences on artificial intelligence.
|
SELECT ShortName, HomePage FROM Conference WHERE FullName LIKE 'International Conference on Artificial Intelligence%'
|
[
"List",
"the",
"short",
"name",
"and",
"home",
"page",
"URL",
"of",
"all",
"the",
"international",
"conferences",
"on",
"artificial",
"intelligence",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "International Conference on Artificial Intelligence%"
},
{
"id": 0,
"type": "table",
"value": "conference"
},
{
"id": 1,
"type": "column",
"value": "shortname"
},
{
"id": 2,
"type": "column",
"value": "homepage"
},
{
"id": 3,
"type": "column",
"value": "fullname"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
5,
6
]
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": [
11,
13,
14,
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
1,150
|
swimming
|
spider:train_spider.json:5621
|
Find the name and capacity of the stadium where the event named "World Junior" happened.
|
SELECT t1.name , t1.capacity FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id WHERE t2.name = 'World Junior'
|
[
"Find",
"the",
"name",
"and",
"capacity",
"of",
"the",
"stadium",
"where",
"the",
"event",
"named",
"\"",
"World",
"Junior",
"\"",
"happened",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "World Junior"
},
{
"id": 6,
"type": "column",
"value": "stadium_id"
},
{
"id": 1,
"type": "column",
"value": "capacity"
},
{
"id": 2,
"type": "table",
"value": "stadium"
},
{
"id": 3,
"type": "table",
"value": "event"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
13,
14
]
},
{
"entity_id": 5,
"token_idxs": [
0
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
1,151
|
sports_competition
|
spider:train_spider.json:3352
|
What are the names of all the clubs starting with the oldest?
|
SELECT name FROM club ORDER BY Start_year ASC
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"the",
"clubs",
"starting",
"with",
"the",
"oldest",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "start_year"
},
{
"id": 0,
"type": "table",
"value": "club"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
1,152
|
ice_hockey_draft
|
bird:train.json:6936
|
What are the names of the players who played for Acadie-Bathurst Titan during the regular season in 1998-1999?
|
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '1998-1999' AND T1.GAMETYPE = 'Regular Season' AND T1.TEAM = 'Acadie-Bathurst Titan'
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"players",
"who",
"played",
"for",
"Acadie",
"-",
"Bathurst",
"Titan",
"during",
"the",
"regular",
"season",
"in",
"1998",
"-",
"1999",
"?"
] |
[
{
"id": 9,
"type": "value",
"value": "Acadie-Bathurst Titan"
},
{
"id": 7,
"type": "value",
"value": "Regular Season"
},
{
"id": 1,
"type": "table",
"value": "seasonstatus"
},
{
"id": 0,
"type": "column",
"value": "playername"
},
{
"id": 2,
"type": "table",
"value": "playerinfo"
},
{
"id": 5,
"type": "value",
"value": "1998-1999"
},
{
"id": 6,
"type": "column",
"value": "gametype"
},
{
"id": 3,
"type": "column",
"value": "eliteid"
},
{
"id": 4,
"type": "column",
"value": "season"
},
{
"id": 8,
"type": "column",
"value": "team"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
17
]
},
{
"entity_id": 5,
"token_idxs": [
19,
20,
21
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": [
2,
3
]
},
{
"entity_id": 9,
"token_idxs": [
10,
11,
12,
13
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
1,153
|
simpson_episodes
|
bird:train.json:4294
|
What is the credited cast for the episode "In the Name of the Grandfather"?
|
SELECT DISTINCT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'In the Name of the Grandfather' AND T2.category = 'Cast' AND T2.credited = 'true';
|
[
"What",
"is",
"the",
"credited",
"cast",
"for",
"the",
"episode",
"\"",
"In",
"the",
"Name",
"of",
"the",
"Grandfather",
"\"",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "In the Name of the Grandfather"
},
{
"id": 3,
"type": "column",
"value": "episode_id"
},
{
"id": 6,
"type": "column",
"value": "category"
},
{
"id": 8,
"type": "column",
"value": "credited"
},
{
"id": 1,
"type": "table",
"value": "episode"
},
{
"id": 0,
"type": "column",
"value": "person"
},
{
"id": 2,
"type": "table",
"value": "credit"
},
{
"id": 4,
"type": "column",
"value": "title"
},
{
"id": 7,
"type": "value",
"value": "Cast"
},
{
"id": 9,
"type": "value",
"value": "true"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
9,
10,
11,
12,
13,
14
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": [
4
]
},
{
"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-VALUE",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
1,154
|
mondial_geo
|
bird:train.json:8404
|
How many times longer is the longest river in Tajikistan than the shortest river?
|
SELECT MAX(T2.Length) / MIN(T2.Length) FROM located AS T1 INNER JOIN river AS T2 ON T1.River = T2.Name WHERE T1.Country = 'TJ'
|
[
"How",
"many",
"times",
"longer",
"is",
"the",
"longest",
"river",
"in",
"Tajikistan",
"than",
"the",
"shortest",
"river",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "located"
},
{
"id": 2,
"type": "column",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "length"
},
{
"id": 1,
"type": "table",
"value": "river"
},
{
"id": 4,
"type": "column",
"value": "river"
},
{
"id": 5,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "TJ"
}
] |
[
{
"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": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"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",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,155
|
store_1
|
spider:train_spider.json:560
|
What are the total amount of money in the invoices billed from Chicago, Illinois?
|
SELECT sum(total) FROM invoices WHERE billing_city = "Chicago" AND billing_state = "IL";
|
[
"What",
"are",
"the",
"total",
"amount",
"of",
"money",
"in",
"the",
"invoices",
"billed",
"from",
"Chicago",
",",
"Illinois",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "billing_state"
},
{
"id": 2,
"type": "column",
"value": "billing_city"
},
{
"id": 0,
"type": "table",
"value": "invoices"
},
{
"id": 3,
"type": "column",
"value": "Chicago"
},
{
"id": 1,
"type": "column",
"value": "total"
},
{
"id": 5,
"type": "column",
"value": "IL"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
14
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
1,156
|
journal_committee
|
spider:train_spider.json:664
|
List the names of editors that are not on any journal committee.
|
SELECT Name FROM editor WHERE editor_id NOT IN (SELECT editor_id FROM journal_committee)
|
[
"List",
"the",
"names",
"of",
"editors",
"that",
"are",
"not",
"on",
"any",
"journal",
"committee",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "journal_committee"
},
{
"id": 2,
"type": "column",
"value": "editor_id"
},
{
"id": 0,
"type": "table",
"value": "editor"
},
{
"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": [
10,
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",
"B-TABLE",
"I-TABLE",
"O"
] |
1,157
|
public_review_platform
|
bird:train.json:4093
|
List down the closing day of businesses located at SC State.
|
SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC'
|
[
"List",
"down",
"the",
"closing",
"day",
"of",
"businesses",
"located",
"at",
"SC",
"State",
"."
] |
[
{
"id": 5,
"type": "table",
"value": "business_hours"
},
{
"id": 6,
"type": "column",
"value": "business_id"
},
{
"id": 4,
"type": "table",
"value": "business"
},
{
"id": 3,
"type": "column",
"value": "day_id"
},
{
"id": 1,
"type": "column",
"value": "state"
},
{
"id": 0,
"type": "table",
"value": "days"
},
{
"id": 2,
"type": "value",
"value": "SC"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"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",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,158
|
aan_1
|
bird:test.json:1041
|
Find the number of papers published in different conferences each year.
|
SELECT count(*) , venue , YEAR FROM Paper GROUP BY venue , YEAR
|
[
"Find",
"the",
"number",
"of",
"papers",
"published",
"in",
"different",
"conferences",
"each",
"year",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "paper"
},
{
"id": 1,
"type": "column",
"value": "venue"
},
{
"id": 2,
"type": "column",
"value": "year"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,159
|
insurance_policies
|
spider:train_spider.json:3869
|
Find the claim id and the number of settlements made for the claim with the most recent settlement date.
|
SELECT count(*) , T1.claim_id FROM Claims AS T1 JOIN Settlements AS T2 ON T1.claim_id = T2.claim_id GROUP BY T1.claim_id ORDER BY T1.Date_Claim_Settled DESC LIMIT 1
|
[
"Find",
"the",
"claim",
"i",
"d",
"and",
"the",
"number",
"of",
"settlements",
"made",
"for",
"the",
"claim",
"with",
"the",
"most",
"recent",
"settlement",
"date",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "date_claim_settled"
},
{
"id": 2,
"type": "table",
"value": "settlements"
},
{
"id": 0,
"type": "column",
"value": "claim_id"
},
{
"id": 1,
"type": "table",
"value": "claims"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,161
|
country_language
|
bird:test.json:1379
|
What are the names of the different official languages, as well as the number of countries that speak each?
|
SELECT T2.name , COUNT(*) FROM official_languages AS T1 JOIN languages AS T2 ON T1.language_id = T2.id GROUP BY T2.name
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"different",
"official",
"languages",
",",
"as",
"well",
"as",
"the",
"number",
"of",
"countries",
"that",
"speak",
"each",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "official_languages"
},
{
"id": 3,
"type": "column",
"value": "language_id"
},
{
"id": 2,
"type": "table",
"value": "languages"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"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": []
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,162
|
video_games
|
bird:train.json:3402
|
How many games do not have any sales in Europe?
|
SELECT COUNT(*) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Europe' AND T1.num_sales = 0
|
[
"How",
"many",
"games",
"do",
"not",
"have",
"any",
"sales",
"in",
"Europe",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "region_sales"
},
{
"id": 4,
"type": "column",
"value": "region_name"
},
{
"id": 2,
"type": "column",
"value": "region_id"
},
{
"id": 6,
"type": "column",
"value": "num_sales"
},
{
"id": 1,
"type": "table",
"value": "region"
},
{
"id": 5,
"type": "value",
"value": "Europe"
},
{
"id": 3,
"type": "column",
"value": "id"
},
{
"id": 7,
"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": [
9
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,164
|
music_platform_2
|
bird:train.json:7974
|
List the urls for all the "fiction-science-fiction" podcasts.
|
SELECT itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM categories WHERE category = 'fiction-science-fiction' )
|
[
"List",
"the",
"urls",
"for",
"all",
"the",
"\"",
"fiction",
"-",
"science",
"-",
"fiction",
"\"",
"podcasts",
"."
] |
[
{
"id": 5,
"type": "value",
"value": "fiction-science-fiction"
},
{
"id": 1,
"type": "column",
"value": "itunes_url"
},
{
"id": 2,
"type": "column",
"value": "podcast_id"
},
{
"id": 3,
"type": "table",
"value": "categories"
},
{
"id": 0,
"type": "table",
"value": "podcasts"
},
{
"id": 4,
"type": "column",
"value": "category"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7,
8,
9,
10,
11
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
1,165
|
aan_1
|
bird:test.json:972
|
Count the number of papers published by Columbia University in 2009.
|
SELECT count(DISTINCT T1.paper_id) FROM Paper AS T1 JOIN Author_list AS T2 ON T1.paper_id = T2.paper_id JOIN Affiliation AS T3 ON T2.affiliation_id = T3.affiliation_id WHERE T3.name LIKE "Columbia University" AND T1.year = 2009
|
[
"Count",
"the",
"number",
"of",
"papers",
"published",
"by",
"Columbia",
"University",
"in",
"2009",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "Columbia University"
},
{
"id": 4,
"type": "column",
"value": "affiliation_id"
},
{
"id": 0,
"type": "table",
"value": "affiliation"
},
{
"id": 3,
"type": "table",
"value": "author_list"
},
{
"id": 1,
"type": "column",
"value": "paper_id"
},
{
"id": 2,
"type": "table",
"value": "paper"
},
{
"id": 5,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "year"
},
{
"id": 8,
"type": "value",
"value": "2009"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": [
7,
8
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
10
]
},
{
"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-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,166
|
student_1
|
spider:train_spider.json:4037
|
What are the grade number and classroom number of each class in the list?
|
SELECT DISTINCT classroom , grade FROM list
|
[
"What",
"are",
"the",
"grade",
"number",
"and",
"classroom",
"number",
"of",
"each",
"class",
"in",
"the",
"list",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "classroom"
},
{
"id": 2,
"type": "column",
"value": "grade"
},
{
"id": 0,
"type": "table",
"value": "list"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"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": []
},
{
"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-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,167
|
university
|
bird:train.json:8094
|
How many Turkish universities are there in the database?
|
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Turkey'
|
[
"How",
"many",
"Turkish",
"universities",
"are",
"there",
"in",
"the",
"database",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "country_name"
},
{
"id": 0,
"type": "table",
"value": "university"
},
{
"id": 4,
"type": "column",
"value": "country_id"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "Turkey"
},
{
"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": [
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-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,168
|
superhero
|
bird:dev.json:784
|
Provide the full names of vampire heroes.
|
SELECT T1.full_name FROM superhero AS T1 INNER JOIN race AS T2 ON T1.race_id = T2.id WHERE T2.race = 'Vampire'
|
[
"Provide",
"the",
"full",
"names",
"of",
"vampire",
"heroes",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "full_name"
},
{
"id": 1,
"type": "table",
"value": "superhero"
},
{
"id": 4,
"type": "value",
"value": "Vampire"
},
{
"id": 5,
"type": "column",
"value": "race_id"
},
{
"id": 2,
"type": "table",
"value": "race"
},
{
"id": 3,
"type": "column",
"value": "race"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
1,170
|
retail_world
|
bird:train.json:6551
|
Provide the list of product IDs and names under the meat/poultry category.
|
SELECT T2.ProductName, T1.CategoryName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )
|
[
"Provide",
"the",
"list",
"of",
"product",
"IDs",
"and",
"names",
"under",
"the",
"meat",
"/",
"poultry",
"category",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "categoryname"
},
{
"id": 4,
"type": "column",
"value": "reorderlevel"
},
{
"id": 0,
"type": "column",
"value": "productname"
},
{
"id": 2,
"type": "table",
"value": "categories"
},
{
"id": 5,
"type": "column",
"value": "categoryid"
},
{
"id": 3,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,171
|
music_1
|
spider:train_spider.json:3620
|
What are the top 3 artists with the largest number of songs in the language Bangla?
|
SELECT T1.artist_name FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "bangla" GROUP BY T2.artist_name ORDER BY count(*) DESC LIMIT 3
|
[
"What",
"are",
"the",
"top",
"3",
"artists",
"with",
"the",
"largest",
"number",
"of",
"songs",
"in",
"the",
"language",
"Bangla",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "artist_name"
},
{
"id": 3,
"type": "column",
"value": "languages"
},
{
"id": 1,
"type": "table",
"value": "artist"
},
{
"id": 4,
"type": "column",
"value": "bangla"
},
{
"id": 2,
"type": "table",
"value": "song"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
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",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
1,172
|
activity_1
|
spider:train_spider.json:6743
|
Show all the ranks and the number of male and female faculty for each rank.
|
SELECT rank , sex , count(*) FROM Faculty GROUP BY rank , sex
|
[
"Show",
"all",
"the",
"ranks",
"and",
"the",
"number",
"of",
"male",
"and",
"female",
"faculty",
"for",
"each",
"rank",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "faculty"
},
{
"id": 1,
"type": "column",
"value": "rank"
},
{
"id": 2,
"type": "column",
"value": "sex"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"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",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
1,173
|
institution_sports
|
bird:test.json:1676
|
Return all the enrollments of institutions in either the city of Vancouver or the city of Calgary .
|
select sum(enrollment) from institution where city = "vancouver" or city = "calgary"
|
[
"Return",
"all",
"the",
"enrollments",
"of",
"institutions",
"in",
"either",
"the",
"city",
"of",
"Vancouver",
"or",
"the",
"city",
"of",
"Calgary",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "institution"
},
{
"id": 1,
"type": "column",
"value": "enrollment"
},
{
"id": 3,
"type": "column",
"value": "vancouver"
},
{
"id": 4,
"type": "column",
"value": "calgary"
},
{
"id": 2,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
16
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,174
|
retails
|
bird:train.json:6779
|
Calculate the difference in the average number of low-priority orders shipped by truck in each month of 1995 and 1996.
|
SELECT (CAST(SUM(IIF(STRFTIME('%Y', T2.l_shipdate) = 1995, 1, 0)) AS REAL) / 12) - (CAST(SUM(IIF(STRFTIME('%Y', T2.l_shipdate) = 1996, 1, 0)) AS REAL) / 12) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderpriority = '5-LOW' AND T2.l_shipmode = 'TRUCK'
|
[
"Calculate",
"the",
"difference",
"in",
"the",
"average",
"number",
"of",
"low",
"-",
"priority",
"orders",
"shipped",
"by",
"truck",
"in",
"each",
"month",
"of",
"1995",
"and",
"1996",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "o_orderpriority"
},
{
"id": 2,
"type": "column",
"value": "o_orderkey"
},
{
"id": 3,
"type": "column",
"value": "l_orderkey"
},
{
"id": 6,
"type": "column",
"value": "l_shipmode"
},
{
"id": 14,
"type": "column",
"value": "l_shipdate"
},
{
"id": 1,
"type": "table",
"value": "lineitem"
},
{
"id": 0,
"type": "table",
"value": "orders"
},
{
"id": 5,
"type": "value",
"value": "5-LOW"
},
{
"id": 7,
"type": "value",
"value": "TRUCK"
},
{
"id": 11,
"type": "value",
"value": "1995"
},
{
"id": 12,
"type": "value",
"value": "1996"
},
{
"id": 8,
"type": "value",
"value": "12"
},
{
"id": 13,
"type": "value",
"value": "%Y"
},
{
"id": 9,
"type": "value",
"value": "1"
},
{
"id": 10,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": [
19
]
},
{
"entity_id": 12,
"token_idxs": [
21
]
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": [
12
]
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,175
|
shipping
|
bird:train.json:5647
|
How many cities are in Connecticut?
|
SELECT COUNT(*) FROM city WHERE state = 'Connecticut'
|
[
"How",
"many",
"cities",
"are",
"in",
"Connecticut",
"?"
] |
[
{
"id": 2,
"type": "value",
"value": "Connecticut"
},
{
"id": 1,
"type": "column",
"value": "state"
},
{
"id": 0,
"type": "table",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O"
] |
1,176
|
public_review_platform
|
bird:train.json:3986
|
List all the businesses that closed at 8PM.
|
SELECT DISTINCT business_id FROM Business_Hours WHERE closing_time = '8PM'
|
[
"List",
"all",
"the",
"businesses",
"that",
"closed",
"at",
"8PM",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "business_hours"
},
{
"id": 2,
"type": "column",
"value": "closing_time"
},
{
"id": 1,
"type": "column",
"value": "business_id"
},
{
"id": 3,
"type": "value",
"value": "8PM"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"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",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,177
|
movie_2
|
bird:test.json:1823
|
Find the name of the movies that are played in either cinema Odeon or Imperial.
|
SELECT T1.title FROM movies AS T1 JOIN movietheaters AS T2 ON T1.code = T2.movie WHERE T2.name = 'Odeon' OR T2.name = 'Imperial'
|
[
"Find",
"the",
"name",
"of",
"the",
"movies",
"that",
"are",
"played",
"in",
"either",
"cinema",
"Odeon",
"or",
"Imperial",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "movietheaters"
},
{
"id": 7,
"type": "value",
"value": "Imperial"
},
{
"id": 1,
"type": "table",
"value": "movies"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "column",
"value": "movie"
},
{
"id": 6,
"type": "value",
"value": "Odeon"
},
{
"id": 3,
"type": "column",
"value": "code"
},
{
"id": 5,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,178
|
customers_and_orders
|
bird:test.json:301
|
How many customers do not have an order?
|
SELECT count(*) FROM Customers WHERE customer_id NOT IN ( SELECT customer_id FROM Customer_orders)
|
[
"How",
"many",
"customers",
"do",
"not",
"have",
"an",
"order",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "customer_orders"
},
{
"id": 1,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,179
|
toxicology
|
bird:dev.json:240
|
List all the elements of the toxicology of the molecule "TR004".
|
SELECT DISTINCT T.element FROM atom AS T WHERE T.molecule_id = 'TR004'
|
[
"List",
"all",
"the",
"elements",
"of",
"the",
"toxicology",
"of",
"the",
"molecule",
"\"",
"TR004",
"\"",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "molecule_id"
},
{
"id": 1,
"type": "column",
"value": "element"
},
{
"id": 3,
"type": "value",
"value": "TR004"
},
{
"id": 0,
"type": "table",
"value": "atom"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
1,180
|
mondial_geo
|
bird:train.json:8406
|
In countries where there is more than one ethnic group, name the ethnic group with the greatest presence in each country and the country to which it corresponds.
|
SELECT Country, Name FROM ethnicGroup AS T1 WHERE Percentage < 100 AND Percentage = ( SELECT MAX(Percentage) FROM ethnicGroup AS T2 WHERE T1.Country = T2.Country )
|
[
"In",
"countries",
"where",
"there",
"is",
"more",
"than",
"one",
"ethnic",
"group",
",",
"name",
"the",
"ethnic",
"group",
"with",
"the",
"greatest",
"presence",
"in",
"each",
"country",
"and",
"the",
"country",
"to",
"which",
"it",
"corresponds",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "ethnicgroup"
},
{
"id": 3,
"type": "column",
"value": "percentage"
},
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "100"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13,
14
]
},
{
"entity_id": 1,
"token_idxs": [
24
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"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",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
1,181
|
public_review_platform
|
bird:train.json:3824
|
What are the attribute numbers that are related to payment?
|
SELECT attribute_id FROM Attributes WHERE attribute_name LIKE '%payment%'
|
[
"What",
"are",
"the",
"attribute",
"numbers",
"that",
"are",
"related",
"to",
"payment",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "attribute_name"
},
{
"id": 1,
"type": "column",
"value": "attribute_id"
},
{
"id": 0,
"type": "table",
"value": "attributes"
},
{
"id": 3,
"type": "value",
"value": "%payment%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.