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
|
|---|---|---|---|---|---|---|---|---|
12,843
|
swimming
|
spider:train_spider.json:5627
|
Find the names of the swimmers who have both "win" and "loss" results in the record.
|
SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Win' INTERSECT SELECT t1.name FROM swimmer AS t1 JOIN record AS t2 ON t1.id = t2.swimmer_id WHERE RESULT = 'Loss'
|
[
"Find",
"the",
"names",
"of",
"the",
"swimmers",
"who",
"have",
"both",
"\"",
"win",
"\"",
"and",
"\"",
"loss",
"\"",
"results",
"in",
"the",
"record",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "swimmer_id"
},
{
"id": 1,
"type": "table",
"value": "swimmer"
},
{
"id": 2,
"type": "table",
"value": "record"
},
{
"id": 3,
"type": "column",
"value": "result"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "value",
"value": "Loss"
},
{
"id": 4,
"type": "value",
"value": "Win"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
19
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
0
]
},
{
"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",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
12,844
|
formula_1
|
spider:train_spider.json:2194
|
What are the names of all races held after 2000 in Spain?
|
SELECT DISTINCT T1.name FROM races AS T1 JOIN circuits AS T2 ON T1.circuitid = T2.circuitid WHERE T2.country = "Spain" AND T1.year > 2000
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"races",
"held",
"after",
"2000",
"in",
"Spain",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "circuitid"
},
{
"id": 2,
"type": "table",
"value": "circuits"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "races"
},
{
"id": 5,
"type": "column",
"value": "Spain"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 7,
"type": "value",
"value": "2000"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
11
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
9
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O"
] |
12,845
|
european_football_1
|
bird:train.json:2749
|
Which 2 Scottish teams scored 10 goals playing as a local team and in which seasons?
|
SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Scotland' AND T1.FTHG = 10
|
[
"Which",
"2",
"Scottish",
"teams",
"scored",
"10",
"goals",
"playing",
"as",
"a",
"local",
"team",
"and",
"in",
"which",
"seasons",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "divisions"
},
{
"id": 0,
"type": "column",
"value": "hometeam"
},
{
"id": 4,
"type": "column",
"value": "division"
},
{
"id": 6,
"type": "value",
"value": "Scotland"
},
{
"id": 5,
"type": "column",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "matchs"
},
{
"id": 7,
"type": "column",
"value": "fthg"
},
{
"id": 3,
"type": "column",
"value": "div"
},
{
"id": 8,
"type": "value",
"value": "10"
}
] |
[
{
"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": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
5
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
12,847
|
formula_1
|
spider:train_spider.json:2169
|
What is the id, forname and surname of the driver who had the first position in terms of laptime at least twice?
|
SELECT T1.driverid , T1.forename , T1.surname FROM drivers AS T1 JOIN laptimes AS T2 ON T1.driverid = T2.driverid WHERE POSITION = '1' GROUP BY T1.driverid HAVING count(*) >= 2
|
[
"What",
"is",
"the",
"i",
"d",
",",
"forname",
"and",
"surname",
"of",
"the",
"driver",
"who",
"had",
"the",
"first",
"position",
"in",
"terms",
"of",
"laptime",
"at",
"least",
"twice",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "driverid"
},
{
"id": 1,
"type": "column",
"value": "forename"
},
{
"id": 4,
"type": "table",
"value": "laptimes"
},
{
"id": 5,
"type": "column",
"value": "position"
},
{
"id": 2,
"type": "column",
"value": "surname"
},
{
"id": 3,
"type": "table",
"value": "drivers"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
20
]
},
{
"entity_id": 5,
"token_idxs": [
16
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
12,848
|
game_injury
|
spider:train_spider.json:1289
|
Show the name, average attendance, total attendance for stadiums where no accidents happened.
|
SELECT name , average_attendance , total_attendance FROM stadium EXCEPT SELECT T2.name , T2.average_attendance , T2.total_attendance FROM game AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.id JOIN injury_accident AS T3 ON T1.id = T3.game_id
|
[
"Show",
"the",
"name",
",",
"average",
"attendance",
",",
"total",
"attendance",
"for",
"stadiums",
"where",
"no",
"accidents",
"happened",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "average_attendance"
},
{
"id": 3,
"type": "column",
"value": "total_attendance"
},
{
"id": 4,
"type": "table",
"value": "injury_accident"
},
{
"id": 8,
"type": "column",
"value": "stadium_id"
},
{
"id": 0,
"type": "table",
"value": "stadium"
},
{
"id": 7,
"type": "column",
"value": "game_id"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "table",
"value": "game"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4,
5
]
},
{
"entity_id": 3,
"token_idxs": [
7,
8
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
12,849
|
superhero
|
bird:dev.json:751
|
List down at least five superpowers of male superheroes.
|
SELECT T3.power_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id INNER JOIN superpower AS T3 ON T3.id = T2.power_id INNER JOIN gender AS T4 ON T4.id = T1.gender_id WHERE T4.gender = 'Male' LIMIT 5
|
[
"List",
"down",
"at",
"least",
"five",
"superpowers",
"of",
"male",
"superheroes",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "power_name"
},
{
"id": 4,
"type": "table",
"value": "superpower"
},
{
"id": 8,
"type": "table",
"value": "hero_power"
},
{
"id": 6,
"type": "column",
"value": "gender_id"
},
{
"id": 7,
"type": "table",
"value": "superhero"
},
{
"id": 9,
"type": "column",
"value": "power_id"
},
{
"id": 10,
"type": "column",
"value": "hero_id"
},
{
"id": 1,
"type": "table",
"value": "gender"
},
{
"id": 2,
"type": "column",
"value": "gender"
},
{
"id": 3,
"type": "value",
"value": "Male"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
8
]
},
{
"entity_id": 8,
"token_idxs": [
5
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
12,850
|
language_corpus
|
bird:train.json:5810
|
What is the word that occurs the most in the Catalan language?
|
SELECT word FROM words WHERE occurrences = ( SELECT MAX(occurrences) FROM words )
|
[
"What",
"is",
"the",
"word",
"that",
"occurs",
"the",
"most",
"in",
"the",
"Catalan",
"language",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "occurrences"
},
{
"id": 0,
"type": "table",
"value": "words"
},
{
"id": 1,
"type": "column",
"value": "word"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,851
|
shipping
|
bird:train.json:5634
|
What is the brand of truck used in shipment id 1011?
|
SELECT T1.make FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1011'
|
[
"What",
"is",
"the",
"brand",
"of",
"truck",
"used",
"in",
"shipment",
"i",
"d",
"1011",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "shipment"
},
{
"id": 5,
"type": "column",
"value": "truck_id"
},
{
"id": 3,
"type": "column",
"value": "ship_id"
},
{
"id": 1,
"type": "table",
"value": "truck"
},
{
"id": 0,
"type": "column",
"value": "make"
},
{
"id": 4,
"type": "value",
"value": "1011"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
12,852
|
store_1
|
spider:train_spider.json:618
|
What is the composer who created the track "Fast As a Shark"?
|
SELECT composer FROM tracks WHERE name = "Fast As a Shark";
|
[
"What",
"is",
"the",
"composer",
"who",
"created",
"the",
"track",
"\"",
"Fast",
"As",
"a",
"Shark",
"\"",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "Fast As a Shark"
},
{
"id": 1,
"type": "column",
"value": "composer"
},
{
"id": 0,
"type": "table",
"value": "tracks"
},
{
"id": 2,
"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": [
9,
10,
11,
12
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
12,853
|
sakila_1
|
spider:train_spider.json:2964
|
How many films are there in each category? List the genre name, genre id and the count.
|
SELECT T2.name , T1.category_id , count(*) FROM film_category AS T1 JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T1.category_id
|
[
"How",
"many",
"films",
"are",
"there",
"in",
"each",
"category",
"?",
"List",
"the",
"genre",
"name",
",",
"genre",
"i",
"d",
"and",
"the",
"count",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "film_category"
},
{
"id": 0,
"type": "column",
"value": "category_id"
},
{
"id": 3,
"type": "table",
"value": "category"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"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",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,854
|
art_1
|
bird:test.json:1306
|
List the painting id, location and title of the medium oil paintings ordered by year.
|
SELECT paintingID , title , LOCATION FROM paintings WHERE medium = "oil" ORDER BY YEAR
|
[
"List",
"the",
"painting",
"i",
"d",
",",
"location",
"and",
"title",
"of",
"the",
"medium",
"oil",
"paintings",
"ordered",
"by",
"year",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "paintingid"
},
{
"id": 0,
"type": "table",
"value": "paintings"
},
{
"id": 3,
"type": "column",
"value": "location"
},
{
"id": 4,
"type": "column",
"value": "medium"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "column",
"value": "oil"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
12,856
|
address_1
|
bird:test.json:773
|
How many cities are in Canada?
|
SELECT count(*) FROM City WHERE country = "CANADA"
|
[
"How",
"many",
"cities",
"are",
"in",
"Canada",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "column",
"value": "CANADA"
},
{
"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-COLUMN",
"O"
] |
12,857
|
hospital_1
|
spider:train_spider.json:3939
|
Find the number of distinct room types available.
|
SELECT count(DISTINCT roomtype) FROM room
|
[
"Find",
"the",
"number",
"of",
"distinct",
"room",
"types",
"available",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "roomtype"
},
{
"id": 0,
"type": "table",
"value": "room"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O"
] |
12,858
|
public_review_platform
|
bird:train.json:3832
|
What are the attributes that business number 56 have?
|
SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 56
|
[
"What",
"are",
"the",
"attributes",
"that",
"business",
"number",
"56",
"have",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "business_attributes"
},
{
"id": 4,
"type": "column",
"value": "attribute_value"
},
{
"id": 0,
"type": "column",
"value": "attribute_name"
},
{
"id": 3,
"type": "column",
"value": "attribute_id"
},
{
"id": 6,
"type": "column",
"value": "business_id"
},
{
"id": 1,
"type": "table",
"value": "attributes"
},
{
"id": 5,
"type": "value",
"value": "TRUE"
},
{
"id": 7,
"type": "value",
"value": "56"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": [
7
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
12,859
|
legislator
|
bird:train.json:4776
|
What are the Facebook, Twitter and YouTube usernames of Adam Kinzinger?
|
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Adam Kinzinger'
|
[
"What",
"are",
"the",
"Facebook",
",",
"Twitter",
"and",
"YouTube",
"usernames",
"of",
"Adam",
"Kinzinger",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "official_full_name"
},
{
"id": 4,
"type": "value",
"value": "Adam Kinzinger"
},
{
"id": 2,
"type": "table",
"value": "social-media"
},
{
"id": 6,
"type": "column",
"value": "bioguide_id"
},
{
"id": 0,
"type": "column",
"value": "facebook"
},
{
"id": 5,
"type": "column",
"value": "bioguide"
},
{
"id": 1,
"type": "table",
"value": "current"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
12,860
|
simpson_episodes
|
bird:train.json:4276
|
Please list all of the episodes that aired in 2008 that have the highest number of votes for the maximum star rating.
|
SELECT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' ORDER BY T2.votes DESC LIMIT 1;
|
[
"Please",
"list",
"all",
"of",
"the",
"episodes",
"that",
"aired",
"in",
"2008",
"that",
"have",
"the",
"highest",
"number",
"of",
"votes",
"for",
"the",
"maximum",
"star",
"rating",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "episode_id"
},
{
"id": 5,
"type": "column",
"value": "air_date"
},
{
"id": 1,
"type": "table",
"value": "episode"
},
{
"id": 4,
"type": "column",
"value": "votes"
},
{
"id": 2,
"type": "table",
"value": "vote"
},
{
"id": 3,
"type": "value",
"value": "2008"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,861
|
olympics
|
bird:train.json:4958
|
What was the medal that Coleen Dufresne got?
|
SELECT T4.medal_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Coleen Dufresne (-Stewner)'
|
[
"What",
"was",
"the",
"medal",
"that",
"Coleen",
"Dufresne",
"got",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Coleen Dufresne (-Stewner)"
},
{
"id": 4,
"type": "table",
"value": "competitor_event"
},
{
"id": 8,
"type": "table",
"value": "games_competitor"
},
{
"id": 9,
"type": "column",
"value": "competitor_id"
},
{
"id": 0,
"type": "column",
"value": "medal_name"
},
{
"id": 2,
"type": "column",
"value": "full_name"
},
{
"id": 10,
"type": "column",
"value": "person_id"
},
{
"id": 5,
"type": "column",
"value": "medal_id"
},
{
"id": 7,
"type": "table",
"value": "person"
},
{
"id": 1,
"type": "table",
"value": "medal"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5,
6,
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
12,862
|
activity_1
|
spider:train_spider.json:6754
|
Which students are advised by Michael Goodrich? Give me their first and last names.
|
SELECT T2.fname , T2.lname FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor WHERE T1.fname = "Michael" AND T1.lname = "Goodrich"
|
[
"Which",
"students",
"are",
"advised",
"by",
"Michael",
"Goodrich",
"?",
"Give",
"me",
"their",
"first",
"and",
"last",
"names",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "Goodrich"
},
{
"id": 2,
"type": "table",
"value": "faculty"
},
{
"id": 3,
"type": "table",
"value": "student"
},
{
"id": 5,
"type": "column",
"value": "advisor"
},
{
"id": 6,
"type": "column",
"value": "Michael"
},
{
"id": 0,
"type": "column",
"value": "fname"
},
{
"id": 1,
"type": "column",
"value": "lname"
},
{
"id": 4,
"type": "column",
"value": "facid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
1
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": [
6
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
12,864
|
works_cycles
|
bird:train.json:7415
|
Among the store contact employees, how many of them have a Vista credit card?
|
SELECT COUNT(T1.FirstName) FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T3.CardType = 'Vista' AND T1.PersonType = 'SC'
|
[
"Among",
"the",
"store",
"contact",
"employees",
",",
"how",
"many",
"of",
"them",
"have",
"a",
"Vista",
"credit",
"card",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "personcreditcard"
},
{
"id": 9,
"type": "column",
"value": "businessentityid"
},
{
"id": 4,
"type": "column",
"value": "creditcardid"
},
{
"id": 0,
"type": "table",
"value": "creditcard"
},
{
"id": 7,
"type": "column",
"value": "persontype"
},
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 5,
"type": "column",
"value": "cardtype"
},
{
"id": 2,
"type": "table",
"value": "person"
},
{
"id": 6,
"type": "value",
"value": "Vista"
},
{
"id": 8,
"type": "value",
"value": "SC"
}
] |
[
{
"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": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
12
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-COLUMN",
"O"
] |
12,865
|
donor
|
bird:train.json:3252
|
Which school district was Future Einsteins Of America project located at?
|
SELECT T1.school_district FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Future Einsteins Of America'
|
[
"Which",
"school",
"district",
"was",
"Future",
"Einsteins",
"Of",
"America",
"project",
"located",
"at",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Future Einsteins Of America"
},
{
"id": 0,
"type": "column",
"value": "school_district"
},
{
"id": 5,
"type": "column",
"value": "projectid"
},
{
"id": 1,
"type": "table",
"value": "projects"
},
{
"id": 2,
"type": "table",
"value": "essays"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1,
2
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
4,
5,
6,
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"O",
"O"
] |
12,866
|
customers_and_addresses
|
spider:train_spider.json:6089
|
Find the city with post code 255.
|
SELECT city FROM addresses WHERE zip_postcode = 255
|
[
"Find",
"the",
"city",
"with",
"post",
"code",
"255",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "zip_postcode"
},
{
"id": 0,
"type": "table",
"value": "addresses"
},
{
"id": 1,
"type": "column",
"value": "city"
},
{
"id": 3,
"type": "value",
"value": "255"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
4,
5
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
12,867
|
dorm_1
|
spider:train_spider.json:5711
|
What are the different dorm amenity names in alphabetical order?
|
SELECT amenity_name FROM dorm_amenity ORDER BY amenity_name
|
[
"What",
"are",
"the",
"different",
"dorm",
"amenity",
"names",
"in",
"alphabetical",
"order",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "dorm_amenity"
},
{
"id": 1,
"type": "column",
"value": "amenity_name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
12,868
|
online_exams
|
bird:test.json:211
|
Please show the email addresses of students and the dates of their answers in descending order of dates.
|
SELECT T2.Email_Adress , T1.Date_of_Answer FROM Student_Answers AS T1 JOIN Students AS T2 ON T1.Student_ID = T2.Student_ID ORDER BY T1.Date_of_Answer DESC
|
[
"Please",
"show",
"the",
"email",
"addresses",
"of",
"students",
"and",
"the",
"dates",
"of",
"their",
"answers",
"in",
"descending",
"order",
"of",
"dates",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "student_answers"
},
{
"id": 1,
"type": "column",
"value": "date_of_answer"
},
{
"id": 0,
"type": "column",
"value": "email_adress"
},
{
"id": 4,
"type": "column",
"value": "student_id"
},
{
"id": 3,
"type": "table",
"value": "students"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
9,
10,
11,
12
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,869
|
architecture
|
spider:train_spider.json:6945
|
How many architects are female?
|
SELECT count(*) FROM architect WHERE gender = 'female'
|
[
"How",
"many",
"architects",
"are",
"female",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "architect"
},
{
"id": 1,
"type": "column",
"value": "gender"
},
{
"id": 2,
"type": "value",
"value": "female"
}
] |
[
{
"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": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
12,870
|
sports_competition
|
spider:train_spider.json:3338
|
What is the total number of clubs?
|
SELECT count(*) FROM club
|
[
"What",
"is",
"the",
"total",
"number",
"of",
"clubs",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "club"
}
] |
[
{
"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": []
},
{
"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"
] |
12,871
|
company_office
|
spider:train_spider.json:4561
|
List the name of a building along with the name of a company whose office is in the building.
|
SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id
|
[
"List",
"the",
"name",
"of",
"a",
"building",
"along",
"with",
"the",
"name",
"of",
"a",
"company",
"whose",
"office",
"is",
"in",
"the",
"building",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "office_locations"
},
{
"id": 6,
"type": "column",
"value": "building_id"
},
{
"id": 4,
"type": "column",
"value": "company_id"
},
{
"id": 1,
"type": "table",
"value": "companies"
},
{
"id": 3,
"type": "table",
"value": "buildings"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
14,
15
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
18
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
12,872
|
college_1
|
spider:train_spider.json:3308
|
What are the first names and office of the professors who are in the history department and have a Ph.D?
|
SELECT T1.emp_fname , T2.prof_office FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T3.dept_code = T2.dept_code WHERE T3.dept_name = 'History' AND T2.prof_high_degree = 'Ph.D.'
|
[
"What",
"are",
"the",
"first",
"names",
"and",
"office",
"of",
"the",
"professors",
"who",
"are",
"in",
"the",
"history",
"department",
"and",
"have",
"a",
"Ph",
".",
"D",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "prof_high_degree"
},
{
"id": 1,
"type": "column",
"value": "prof_office"
},
{
"id": 2,
"type": "table",
"value": "department"
},
{
"id": 0,
"type": "column",
"value": "emp_fname"
},
{
"id": 4,
"type": "table",
"value": "professor"
},
{
"id": 5,
"type": "column",
"value": "dept_code"
},
{
"id": 6,
"type": "column",
"value": "dept_name"
},
{
"id": 3,
"type": "table",
"value": "employee"
},
{
"id": 7,
"type": "value",
"value": "History"
},
{
"id": 10,
"type": "column",
"value": "emp_num"
},
{
"id": 9,
"type": "value",
"value": "Ph.D."
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
19,
20,
21
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
12,874
|
store_1
|
spider:train_spider.json:584
|
What is the title of the album that was released by the artist whose name has the phrase 'Led'?
|
SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%'
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"album",
"that",
"was",
"released",
"by",
"the",
"artist",
"whose",
"name",
"has",
"the",
"phrase",
"'",
"Led",
"'",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "artist_id"
},
{
"id": 1,
"type": "table",
"value": "artists"
},
{
"id": 2,
"type": "table",
"value": "albums"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "value",
"value": "%Led%"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": [
19
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
12,875
|
college_3
|
spider:train_spider.json:4677
|
Find the rank of the faculty that the fewest faculties belong to.
|
SELECT Rank FROM FACULTY GROUP BY Rank ORDER BY count(*) ASC LIMIT 1
|
[
"Find",
"the",
"rank",
"of",
"the",
"faculty",
"that",
"the",
"fewest",
"faculties",
"belong",
"to",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "faculty"
},
{
"id": 1,
"type": "column",
"value": "rank"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,876
|
student_1
|
spider:train_spider.json:4080
|
For each grade, report the grade, the number of classrooms in which it is taught and the total number of students in the grade.
|
SELECT grade , count(DISTINCT classroom) , count(*) FROM list GROUP BY grade
|
[
"For",
"each",
"grade",
",",
"report",
"the",
"grade",
",",
"the",
"number",
"of",
"classrooms",
"in",
"which",
"it",
"is",
"taught",
"and",
"the",
"total",
"number",
"of",
"students",
"in",
"the",
"grade",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "classroom"
},
{
"id": 1,
"type": "column",
"value": "grade"
},
{
"id": 0,
"type": "table",
"value": "list"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
15
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,877
|
college_1
|
spider:train_spider.json:3246
|
What are the first names of all students who took ACCT-211 and received a C?
|
SELECT T3.stu_fname FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T2.stu_num = T3.stu_num WHERE T1.crs_code = 'ACCT-211' AND T2.enroll_grade = 'C'
|
[
"What",
"are",
"the",
"first",
"names",
"of",
"all",
"students",
"who",
"took",
"ACCT-211",
"and",
"received",
"a",
"C",
"?"
] |
[
{
"id": 7,
"type": "column",
"value": "enroll_grade"
},
{
"id": 9,
"type": "column",
"value": "class_code"
},
{
"id": 0,
"type": "column",
"value": "stu_fname"
},
{
"id": 5,
"type": "column",
"value": "crs_code"
},
{
"id": 6,
"type": "value",
"value": "ACCT-211"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 4,
"type": "column",
"value": "stu_num"
},
{
"id": 3,
"type": "table",
"value": "enroll"
},
{
"id": 2,
"type": "table",
"value": "class"
},
{
"id": 8,
"type": "value",
"value": "C"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
14
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
12,878
|
shooting
|
bird:train.json:2468
|
Which are the cases where the subject are female. List the case number, subject status and weapon.
|
SELECT T1.case_number, T1.subject_statuses, T1.subject_weapon FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'
|
[
"Which",
"are",
"the",
"cases",
"where",
"the",
"subject",
"are",
"female",
".",
"List",
"the",
"case",
"number",
",",
"subject",
"status",
"and",
"weapon",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "subject_statuses"
},
{
"id": 2,
"type": "column",
"value": "subject_weapon"
},
{
"id": 0,
"type": "column",
"value": "case_number"
},
{
"id": 3,
"type": "table",
"value": "incidents"
},
{
"id": 4,
"type": "table",
"value": "subjects"
},
{
"id": 5,
"type": "column",
"value": "gender"
},
{
"id": 6,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12,
13
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
16,
17,
18
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
12,879
|
soccer_3
|
bird:test.json:37
|
How many different countries are players from?
|
SELECT COUNT (DISTINCT Country) FROM player
|
[
"How",
"many",
"different",
"countries",
"are",
"players",
"from",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "player"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"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",
"B-TABLE",
"O",
"O"
] |
12,880
|
dorm_1
|
spider:train_spider.json:5692
|
Find the name of dorms that do not have any amenity
|
SELECT dorm_name FROM dorm WHERE dormid NOT IN (SELECT dormid FROM has_amenity)
|
[
"Find",
"the",
"name",
"of",
"dorms",
"that",
"do",
"not",
"have",
"any",
"amenity"
] |
[
{
"id": 3,
"type": "table",
"value": "has_amenity"
},
{
"id": 1,
"type": "column",
"value": "dorm_name"
},
{
"id": 2,
"type": "column",
"value": "dormid"
},
{
"id": 0,
"type": "table",
"value": "dorm"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE"
] |
12,881
|
coffee_shop
|
spider:train_spider.json:795
|
Which address has both members younger than 30 and members older than 40?
|
SELECT address FROM member WHERE age < 30 INTERSECT SELECT address FROM member WHERE age > 40
|
[
"Which",
"address",
"has",
"both",
"members",
"younger",
"than",
"30",
"and",
"members",
"older",
"than",
"40",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "address"
},
{
"id": 0,
"type": "table",
"value": "member"
},
{
"id": 2,
"type": "column",
"value": "age"
},
{
"id": 3,
"type": "value",
"value": "30"
},
{
"id": 4,
"type": "value",
"value": "40"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
12,882
|
icfp_1
|
spider:train_spider.json:2907
|
Which papers have the substring "Database" in their titles? Show the titles of the papers.
|
SELECT title FROM papers WHERE title LIKE "%Database%"
|
[
"Which",
"papers",
"have",
"the",
"substring",
"\"",
"Database",
"\"",
"in",
"their",
"titles",
"?",
"Show",
"the",
"titles",
"of",
"the",
"papers",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "%Database%"
},
{
"id": 0,
"type": "table",
"value": "papers"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
17
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
12,883
|
financial
|
bird:dev.json:155
|
How many percent of 'Gold' cards were issued prior to 1998?
|
SELECT CAST(SUM(type = 'gold' AND STRFTIME('%Y', issued) < '1998') AS REAL) * 100 / COUNT(card_id) FROM card
|
[
"How",
"many",
"percent",
"of",
"'",
"Gold",
"'",
"cards",
"were",
"issued",
"prior",
"to",
"1998",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "card_id"
},
{
"id": 7,
"type": "column",
"value": "issued"
},
{
"id": 0,
"type": "table",
"value": "card"
},
{
"id": 3,
"type": "column",
"value": "type"
},
{
"id": 4,
"type": "value",
"value": "gold"
},
{
"id": 5,
"type": "value",
"value": "1998"
},
{
"id": 1,
"type": "value",
"value": "100"
},
{
"id": 6,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"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": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
9
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
12,885
|
donor
|
bird:train.json:3180
|
Which project in Brooklyn that have the highest request of resources? State the the project ID including all of the name of item requested.
|
SELECT T1.projectid, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_city LIKE 'Brooklyn' GROUP BY T1.item_name ORDER BY COUNT(T1.item_name) DESC LIMIT 1
|
[
"Which",
"project",
"in",
"Brooklyn",
"that",
"have",
"the",
"highest",
"request",
"of",
"resources",
"?",
"State",
"the",
"the",
"project",
"ID",
"including",
"all",
"of",
"the",
"name",
"of",
"item",
"requested",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "school_city"
},
{
"id": 0,
"type": "column",
"value": "item_name"
},
{
"id": 1,
"type": "column",
"value": "projectid"
},
{
"id": 2,
"type": "table",
"value": "resources"
},
{
"id": 3,
"type": "table",
"value": "projects"
},
{
"id": 5,
"type": "value",
"value": "Brooklyn"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
20,
21
]
},
{
"entity_id": 1,
"token_idxs": [
16
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
12,886
|
film_rank
|
spider:train_spider.json:4127
|
What are the countries for each market, ordered alphabetically?
|
SELECT Country FROM market ORDER BY Country ASC
|
[
"What",
"are",
"the",
"countries",
"for",
"each",
"market",
",",
"ordered",
"alphabetically",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "market"
}
] |
[
{
"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": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
12,887
|
mondial_geo
|
bird:train.json:8275
|
Which country is Mountain Cerro Chirripo located in? Give the full name of the country.
|
SELECT DISTINCT T1.Name FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T2.Mountain = 'Cerro Chirripo'
|
[
"Which",
"country",
"is",
"Mountain",
"Cerro",
"Chirripo",
"located",
"in",
"?",
"Give",
"the",
"full",
"name",
"of",
"the",
"country",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "Cerro Chirripo"
},
{
"id": 2,
"type": "table",
"value": "geo_mountain"
},
{
"id": 3,
"type": "column",
"value": "mountain"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": [
4,
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
12,888
|
bike_share_1
|
bird:train.json:9065
|
How many trips made by a subscriber started in August, 2013 from a station that can hold more than 20 bikes?
|
SELECT COUNT(T2.id) FROM station AS T1 INNER JOIN trip AS T2 ON T1.id = T2.start_station_id WHERE T2.subscription_type = 'Subscriber' AND T2.start_date LIKE '8/%/2013%' AND T1.dock_count > 20
|
[
"How",
"many",
"trips",
"made",
"by",
"a",
"subscriber",
"started",
"in",
"August",
",",
"2013",
"from",
"a",
"station",
"that",
"can",
"hold",
"more",
"than",
"20",
"bikes",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "subscription_type"
},
{
"id": 3,
"type": "column",
"value": "start_station_id"
},
{
"id": 5,
"type": "value",
"value": "Subscriber"
},
{
"id": 6,
"type": "column",
"value": "start_date"
},
{
"id": 8,
"type": "column",
"value": "dock_count"
},
{
"id": 7,
"type": "value",
"value": "8/%/2013%"
},
{
"id": 0,
"type": "table",
"value": "station"
},
{
"id": 1,
"type": "table",
"value": "trip"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 9,
"type": "value",
"value": "20"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
20
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
12,889
|
student_assessment
|
spider:train_spider.json:68
|
What details do we have on the students who registered for courses most recently?
|
SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1
|
[
"What",
"details",
"do",
"we",
"have",
"on",
"the",
"students",
"who",
"registered",
"for",
"courses",
"most",
"recently",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "student_course_registrations"
},
{
"id": 3,
"type": "column",
"value": "registration_date"
},
{
"id": 0,
"type": "column",
"value": "student_details"
},
{
"id": 4,
"type": "column",
"value": "student_id"
},
{
"id": 2,
"type": "table",
"value": "students"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
12,890
|
culture_company
|
spider:train_spider.json:6971
|
How many books are there for each publisher?
|
SELECT publisher , count(*) FROM book_club GROUP BY publisher
|
[
"How",
"many",
"books",
"are",
"there",
"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": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
12,891
|
student_loan
|
bird:train.json:4557
|
What is the name of the organization which most of the students are enlisted in?
|
SELECT organ FROM ( SELECT organ, COUNT(organ) AS num FROM enlist GROUP BY organ ) T ORDER BY T.num DESC LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"organization",
"which",
"most",
"of",
"the",
"students",
"are",
"enlisted",
"in",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "enlist"
},
{
"id": 0,
"type": "column",
"value": "organ"
},
{
"id": 1,
"type": "column",
"value": "num"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"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",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
12,892
|
hockey
|
bird:train.json:7812
|
Calculate the total points scored by team ID ANA and list down the coashes of the team.
|
SELECT SUM(T2.Pts), T1.coachID FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T2.tmID = T1.tmID WHERE T2.tmID = 'ANA' GROUP BY T1.coachID
|
[
"Calculate",
"the",
"total",
"points",
"scored",
"by",
"team",
"ID",
"ANA",
"and",
"list",
"down",
"the",
"coashes",
"of",
"the",
"team",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "coachid"
},
{
"id": 1,
"type": "table",
"value": "coaches"
},
{
"id": 2,
"type": "table",
"value": "teams"
},
{
"id": 3,
"type": "column",
"value": "tmid"
},
{
"id": 4,
"type": "value",
"value": "ANA"
},
{
"id": 5,
"type": "column",
"value": "pts"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6,
7
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"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-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
12,893
|
wrestler
|
spider:train_spider.json:1877
|
What are the names of wrestlers who have never been eliminated?
|
SELECT Name FROM wrestler WHERE Wrestler_ID NOT IN (SELECT Wrestler_ID FROM elimination)
|
[
"What",
"are",
"the",
"names",
"of",
"wrestlers",
"who",
"have",
"never",
"been",
"eliminated",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "wrestler_id"
},
{
"id": 3,
"type": "table",
"value": "elimination"
},
{
"id": 0,
"type": "table",
"value": "wrestler"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
12,894
|
retail_world
|
bird:train.json:6297
|
How many employees have obtained a doctorate?
|
SELECT COUNT(EmployeeID) FROM Employees WHERE TitleOfCourtesy = 'Dr.'
|
[
"How",
"many",
"employees",
"have",
"obtained",
"a",
"doctorate",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "titleofcourtesy"
},
{
"id": 3,
"type": "column",
"value": "employeeid"
},
{
"id": 0,
"type": "table",
"value": "employees"
},
{
"id": 2,
"type": "value",
"value": "Dr."
}
] |
[
{
"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"
] |
12,895
|
book_press
|
bird:test.json:2007
|
Find the number of books that are sold more than 1000 for each publisher. List the press name as well.
|
SELECT count(*) , t2.name FROM book AS t1 JOIN press AS t2 ON t1.press_id = t2.press_id WHERE sale_amount > 1000 GROUP BY t2.name
|
[
"Find",
"the",
"number",
"of",
"books",
"that",
"are",
"sold",
"more",
"than",
"1000",
"for",
"each",
"publisher",
".",
"List",
"the",
"press",
"name",
"as",
"well",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "sale_amount"
},
{
"id": 5,
"type": "column",
"value": "press_id"
},
{
"id": 2,
"type": "table",
"value": "press"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
"type": "table",
"value": "book"
},
{
"id": 4,
"type": "value",
"value": "1000"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
18
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
17
]
},
{
"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",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O"
] |
12,896
|
music_1
|
spider:train_spider.json:3572
|
What are the names of the songs that have a lower rating than at least one blues song?
|
SELECT song_name FROM song WHERE rating < (SELECT max(rating) FROM song WHERE genre_is = "blues")
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"songs",
"that",
"have",
"a",
"lower",
"rating",
"than",
"at",
"least",
"one",
"blues",
"song",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "song_name"
},
{
"id": 3,
"type": "column",
"value": "genre_is"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 4,
"type": "column",
"value": "blues"
},
{
"id": 0,
"type": "table",
"value": "song"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
17
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
12,897
|
movie_2
|
bird:test.json:1852
|
What is all the information about the unrated movies?
|
SELECT * FROM movies WHERE rating = 'null'
|
[
"What",
"is",
"all",
"the",
"information",
"about",
"the",
"unrated",
"movies",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "movies"
},
{
"id": 1,
"type": "column",
"value": "rating"
},
{
"id": 2,
"type": "value",
"value": "null"
}
] |
[
{
"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"
] |
12,898
|
talkingdata
|
bird:train.json:1132
|
Which category does the app id No.894384172610331000 belong to?
|
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = '894384172610331000'
|
[
"Which",
"category",
"does",
"the",
"app",
"i",
"d",
"No.894384172610331000",
"belong",
"to",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "894384172610331000"
},
{
"id": 1,
"type": "table",
"value": "label_categories"
},
{
"id": 2,
"type": "table",
"value": "app_labels"
},
{
"id": 0,
"type": "column",
"value": "category"
},
{
"id": 5,
"type": "column",
"value": "label_id"
},
{
"id": 3,
"type": "column",
"value": "app_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4,
5,
6
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"O"
] |
12,899
|
thrombosis_prediction
|
bird:dev.json:1214
|
List ID, sex and date of birth of patient whose total protein (TP) below the lower range of the normal index.
|
SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TP < 6.0
|
[
"List",
"ID",
",",
"sex",
"and",
"date",
"of",
"birth",
"of",
"patient",
"whose",
"total",
"protein",
"(",
"TP",
")",
"below",
"the",
"lower",
"range",
"of",
"the",
"normal",
"index",
"."
] |
[
{
"id": 4,
"type": "table",
"value": "laboratory"
},
{
"id": 2,
"type": "column",
"value": "birthday"
},
{
"id": 3,
"type": "table",
"value": "patient"
},
{
"id": 1,
"type": "column",
"value": "sex"
},
{
"id": 6,
"type": "value",
"value": "6.0"
},
{
"id": 0,
"type": "column",
"value": "id"
},
{
"id": 5,
"type": "column",
"value": "tp"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,901
|
car_road_race
|
bird:test.json:1332
|
Please show the names of drivers and the number of races they participate in.
|
SELECT T1.Driver_Name , COUNT(*) FROM driver AS T1 JOIN race AS T2 ON T1.Driver_ID = T2.Driver_ID GROUP BY T1.Driver_ID
|
[
"Please",
"show",
"the",
"names",
"of",
"drivers",
"and",
"the",
"number",
"of",
"races",
"they",
"participate",
"in",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "driver_name"
},
{
"id": 0,
"type": "column",
"value": "driver_id"
},
{
"id": 2,
"type": "table",
"value": "driver"
},
{
"id": 3,
"type": "table",
"value": "race"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
12,902
|
professional_basketball
|
bird:train.json:2871
|
What is the full name of the team that the 'NBA Coach of the Year' 1992 winner coached?
|
SELECT name FROM teams AS T1 INNER JOIN coaches AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN awards_coaches AS T3 ON T2.coachID = T3.coachID AND T2.year = T3.year WHERE T3.year = 1992 AND award = 'NBA Coach of the Year'
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"team",
"that",
"the",
"'",
"NBA",
"Coach",
"of",
"the",
"Year",
"'",
"1992",
"winner",
"coached",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "NBA Coach of the Year"
},
{
"id": 1,
"type": "table",
"value": "awards_coaches"
},
{
"id": 3,
"type": "table",
"value": "coaches"
},
{
"id": 8,
"type": "column",
"value": "coachid"
},
{
"id": 2,
"type": "table",
"value": "teams"
},
{
"id": 6,
"type": "column",
"value": "award"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "value",
"value": "1992"
},
{
"id": 9,
"type": "column",
"value": "tmid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": [
17
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
11,
12,
13,
14
]
},
{
"entity_id": 8,
"token_idxs": [
19
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O"
] |
12,903
|
gas_company
|
spider:train_spider.json:2034
|
What are the locations of all the gas stations ordered by opening year?
|
SELECT LOCATION FROM gas_station ORDER BY open_year
|
[
"What",
"are",
"the",
"locations",
"of",
"all",
"the",
"gas",
"stations",
"ordered",
"by",
"opening",
"year",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "gas_station"
},
{
"id": 2,
"type": "column",
"value": "open_year"
},
{
"id": 1,
"type": "column",
"value": "location"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7,
8
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
11,
12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
12,904
|
restaurant
|
bird:train.json:1772
|
How many deli in Belmont have a review rating of 2 or more?
|
SELECT COUNT(id_restaurant) FROM generalinfo WHERE city = 'belmont' AND review > 2 AND food_type = 'deli'
|
[
"How",
"many",
"deli",
"in",
"Belmont",
"have",
"a",
"review",
"rating",
"of",
"2",
"or",
"more",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "id_restaurant"
},
{
"id": 0,
"type": "table",
"value": "generalinfo"
},
{
"id": 6,
"type": "column",
"value": "food_type"
},
{
"id": 3,
"type": "value",
"value": "belmont"
},
{
"id": 4,
"type": "column",
"value": "review"
},
{
"id": 2,
"type": "column",
"value": "city"
},
{
"id": 7,
"type": "value",
"value": "deli"
},
{
"id": 5,
"type": "value",
"value": "2"
}
] |
[
{
"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": [
7
]
},
{
"entity_id": 5,
"token_idxs": [
10
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"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-VALUE",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
12,905
|
thrombosis_prediction
|
bird:dev.json:1165
|
What is the age gap between the youngest and oldest patient with a normal triglyceride recorded?
|
SELECT STRFTIME('%Y', MAX(T1.Birthday)) - STRFTIME('%Y', MIN(T1.Birthday)) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.TG >= 200
|
[
"What",
"is",
"the",
"age",
"gap",
"between",
"the",
"youngest",
"and",
"oldest",
"patient",
"with",
"a",
"normal",
"triglyceride",
"recorded",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "laboratory"
},
{
"id": 6,
"type": "column",
"value": "birthday"
},
{
"id": 0,
"type": "table",
"value": "patient"
},
{
"id": 3,
"type": "value",
"value": "200"
},
{
"id": 2,
"type": "column",
"value": "tg"
},
{
"id": 4,
"type": "column",
"value": "id"
},
{
"id": 5,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,906
|
soccer_2016
|
bird:train.json:1913
|
How many players are older than Gurkeerat Singh player?
|
SELECT SUM(CASE WHEN DOB < '1990-06-29' THEN 1 ELSE 0 END) FROM Player WHERE Player_Name != 'Gurkeerat Singh'
|
[
"How",
"many",
"players",
"are",
"older",
"than",
"Gurkeerat",
"Singh",
"player",
"?"
] |
[
{
"id": 2,
"type": "value",
"value": "Gurkeerat Singh"
},
{
"id": 1,
"type": "column",
"value": "player_name"
},
{
"id": 6,
"type": "value",
"value": "1990-06-29"
},
{
"id": 0,
"type": "table",
"value": "player"
},
{
"id": 5,
"type": "column",
"value": "dob"
},
{
"id": 3,
"type": "value",
"value": "0"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
6,
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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
12,907
|
college_1
|
spider:train_spider.json:3250
|
What is the total number of professors with a Ph.D. ?
|
SELECT count(*) FROM professor WHERE prof_high_degree = 'Ph.D.'
|
[
"What",
"is",
"the",
"total",
"number",
"of",
"professors",
"with",
"a",
"Ph.D.",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "prof_high_degree"
},
{
"id": 0,
"type": "table",
"value": "professor"
},
{
"id": 2,
"type": "value",
"value": "Ph.D."
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"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",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O"
] |
12,908
|
movie_3
|
bird:train.json:9256
|
What is the average number of actors acted in comedy movies?
|
SELECT AVG(T1.actor_id) FROM film_actor AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id INNER JOIN actor AS T4 ON T4.actor_id = T1.actor_id WHERE T3.name = 'comedy'
|
[
"What",
"is",
"the",
"average",
"number",
"of",
"actors",
"acted",
"in",
"comedy",
"movies",
"?"
] |
[
{
"id": 6,
"type": "table",
"value": "film_category"
},
{
"id": 7,
"type": "column",
"value": "category_id"
},
{
"id": 5,
"type": "table",
"value": "film_actor"
},
{
"id": 3,
"type": "column",
"value": "actor_id"
},
{
"id": 4,
"type": "table",
"value": "category"
},
{
"id": 8,
"type": "column",
"value": "film_id"
},
{
"id": 2,
"type": "value",
"value": "comedy"
},
{
"id": 0,
"type": "table",
"value": "actor"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
12,909
|
wedding
|
spider:train_spider.json:1640
|
Show the pair of male and female names in all weddings after year 2014
|
SELECT T2.name , T3.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id WHERE T1.year > 2014
|
[
"Show",
"the",
"pair",
"of",
"male",
"and",
"female",
"names",
"in",
"all",
"weddings",
"after",
"year",
"2014"
] |
[
{
"id": 5,
"type": "column",
"value": "female_id"
},
{
"id": 6,
"type": "column",
"value": "people_id"
},
{
"id": 4,
"type": "table",
"value": "wedding"
},
{
"id": 7,
"type": "column",
"value": "male_id"
},
{
"id": 1,
"type": "table",
"value": "people"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "2014"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"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",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE"
] |
12,910
|
college_1
|
spider:train_spider.json:3226
|
How many schools are there in the department?
|
SELECT count(DISTINCT school_code) FROM department
|
[
"How",
"many",
"schools",
"are",
"there",
"in",
"the",
"department",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "school_code"
},
{
"id": 0,
"type": "table",
"value": "department"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"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",
"B-TABLE",
"O"
] |
12,911
|
network_2
|
spider:train_spider.json:4455
|
What are the names of all of Bob's friends?
|
SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Bob'
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"of",
"Bob",
"'s",
"friends",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "personfriend"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "column",
"value": "friend"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "Bob"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-COLUMN",
"O"
] |
12,912
|
talkingdata
|
bird:train.json:1105
|
How many models does the VIVO phone brand released?
|
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'
|
[
"How",
"many",
"models",
"does",
"the",
"VIVO",
"phone",
"brand",
"released",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "phone_brand_device_model2"
},
{
"id": 1,
"type": "column",
"value": "phone_brand"
},
{
"id": 3,
"type": "column",
"value": "device_id"
},
{
"id": 2,
"type": "value",
"value": "vivo"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
6,
7
]
},
{
"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",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"I-COLUMN",
"B-TABLE",
"O"
] |
12,913
|
tracking_orders
|
spider:train_spider.json:6892
|
Find all the order items whose product id is 11. What are the order item ids?
|
SELECT order_item_id FROM order_items WHERE product_id = 11
|
[
"Find",
"all",
"the",
"order",
"items",
"whose",
"product",
"i",
"d",
"is",
"11",
".",
"What",
"are",
"the",
"order",
"item",
"ids",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "order_item_id"
},
{
"id": 0,
"type": "table",
"value": "order_items"
},
{
"id": 2,
"type": "column",
"value": "product_id"
},
{
"id": 3,
"type": "value",
"value": "11"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
15,
16,
17
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
12,914
|
olympics
|
bird:train.json:4956
|
In which cities beginning with the letter M have the Olympic Games been held?
|
SELECT city_name FROM city WHERE city_name LIKE 'M%'
|
[
"In",
"which",
"cities",
"beginning",
"with",
"the",
"letter",
"M",
"have",
"the",
"Olympic",
"Games",
"been",
"held",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "city_name"
},
{
"id": 0,
"type": "table",
"value": "city"
},
{
"id": 2,
"type": "value",
"value": "M%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"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": []
},
{
"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-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,915
|
mondial_geo
|
bird:train.json:8307
|
What is the greatest length of the border between 2 independent countries?
|
SELECT MAX(T3.Length) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN borders AS T3 ON T3.Country1 = T2.Country WHERE T2.Independence IS NOT NULL
|
[
"What",
"is",
"the",
"greatest",
"length",
"of",
"the",
"border",
"between",
"2",
"independent",
"countries",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "independence"
},
{
"id": 4,
"type": "table",
"value": "politics"
},
{
"id": 5,
"type": "column",
"value": "country1"
},
{
"id": 0,
"type": "table",
"value": "borders"
},
{
"id": 3,
"type": "table",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "column",
"value": "length"
},
{
"id": 7,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"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": [
11
]
},
{
"entity_id": 7,
"token_idxs": [
7
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
12,916
|
bakery_1
|
bird:test.json:1589
|
On which day did the bakery sell more than 100 dollars in total.
|
SELECT T3.date FROM goods AS T1 JOIN items AS T2 ON T1.id = T2.item JOIN receipts AS T3 ON T2.receipt = T3.ReceiptNumber GROUP BY T3.date HAVING sum(T1.price) > 100
|
[
"On",
"which",
"day",
"did",
"the",
"bakery",
"sell",
"more",
"than",
"100",
"dollars",
"in",
"total",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "receiptnumber"
},
{
"id": 1,
"type": "table",
"value": "receipts"
},
{
"id": 5,
"type": "column",
"value": "receipt"
},
{
"id": 3,
"type": "table",
"value": "goods"
},
{
"id": 4,
"type": "table",
"value": "items"
},
{
"id": 7,
"type": "column",
"value": "price"
},
{
"id": 0,
"type": "column",
"value": "date"
},
{
"id": 9,
"type": "column",
"value": "item"
},
{
"id": 2,
"type": "value",
"value": "100"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
3
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O"
] |
12,917
|
college_completion
|
bird:train.json:3696
|
From which institute is harder to graduate for a bachelor, Amridge University or Auburn University?
|
SELECT chronname FROM institution_details WHERE chronname IN ('Amridge University', 'Auburn University') ORDER BY grad_100_value LIMIT 1
|
[
"From",
"which",
"institute",
"is",
"harder",
"to",
"graduate",
"for",
"a",
"bachelor",
",",
"Amridge",
"University",
"or",
"Auburn",
"University",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "institution_details"
},
{
"id": 2,
"type": "value",
"value": "Amridge University"
},
{
"id": 3,
"type": "value",
"value": "Auburn University"
},
{
"id": 4,
"type": "column",
"value": "grad_100_value"
},
{
"id": 1,
"type": "column",
"value": "chronname"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
11,
12
]
},
{
"entity_id": 3,
"token_idxs": [
14,
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
12,918
|
hockey
|
bird:train.json:7778
|
In which year did the Montreal Canadiens have 49 penalty minutes in the Stanley Cup finals? Was it 1924, 1923 or 1918?
|
SELECT T1.year FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens' AND T2.PIM = 49
|
[
"In",
"which",
"year",
"did",
"the",
"Montreal",
"Canadiens",
"have",
"49",
"penalty",
"minutes",
"in",
"the",
"Stanley",
"Cup",
"finals",
"?",
"Was",
"it",
"1924",
",",
"1923",
"or",
"1918",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Montreal Canadiens"
},
{
"id": 2,
"type": "table",
"value": "teamssc"
},
{
"id": 1,
"type": "table",
"value": "teams"
},
{
"id": 0,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "tmid"
},
{
"id": 5,
"type": "column",
"value": "pim"
},
{
"id": 6,
"type": "value",
"value": "49"
}
] |
[
{
"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": [
5,
6
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
8
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
12,919
|
music_4
|
spider:train_spider.json:6171
|
What are the songs in volumes associated with the artist aged 32 or older?
|
SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32
|
[
"What",
"are",
"the",
"songs",
"in",
"volumes",
"associated",
"with",
"the",
"artist",
"aged",
"32",
"or",
"older",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "artist_id"
},
{
"id": 1,
"type": "table",
"value": "artist"
},
{
"id": 2,
"type": "table",
"value": "volume"
},
{
"id": 0,
"type": "column",
"value": "song"
},
{
"id": 3,
"type": "column",
"value": "age"
},
{
"id": 4,
"type": "value",
"value": "32"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O"
] |
12,920
|
codebase_comments
|
bird:train.json:628
|
List all the methods with a solution with a "636449700980488000" processed time.
|
SELECT DISTINCT T2.Name FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.ProcessedTime = 636449700980488000
|
[
"List",
"all",
"the",
"methods",
"with",
"a",
"solution",
"with",
"a",
"\"",
"636449700980488000",
"\"",
"processed",
"time",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "636449700980488000"
},
{
"id": 3,
"type": "column",
"value": "processedtime"
},
{
"id": 6,
"type": "column",
"value": "solutionid"
},
{
"id": 1,
"type": "table",
"value": "solution"
},
{
"id": 2,
"type": "table",
"value": "method"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
12,
13
]
},
{
"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-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
12,921
|
superstore
|
bird:train.json:2451
|
Please give the name of customers from the West region that bought exactly 8 items in their purchase.
|
SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Quantity = 8 AND T1.Region = 'West'
|
[
"Please",
"give",
"the",
"name",
"of",
"customers",
"from",
"the",
"West",
"region",
"that",
"bought",
"exactly",
"8",
"items",
"in",
"their",
"purchase",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "west_superstore"
},
{
"id": 0,
"type": "column",
"value": "Customer Name"
},
{
"id": 3,
"type": "column",
"value": "Customer ID"
},
{
"id": 4,
"type": "column",
"value": "quantity"
},
{
"id": 2,
"type": "table",
"value": "people"
},
{
"id": 6,
"type": "column",
"value": "region"
},
{
"id": 7,
"type": "value",
"value": "West"
},
{
"id": 5,
"type": "value",
"value": "8"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": [
8
]
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
12,922
|
train_station
|
spider:train_spider.json:6605
|
Show all locations and the total number of platforms and passengers for all train stations in each location.
|
SELECT LOCATION , sum(number_of_platforms) , sum(total_passengers) FROM station GROUP BY LOCATION
|
[
"Show",
"all",
"locations",
"and",
"the",
"total",
"number",
"of",
"platforms",
"and",
"passengers",
"for",
"all",
"train",
"stations",
"in",
"each",
"location",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "number_of_platforms"
},
{
"id": 3,
"type": "column",
"value": "total_passengers"
},
{
"id": 1,
"type": "column",
"value": "location"
},
{
"id": 0,
"type": "table",
"value": "station"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": [
17
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
12,923
|
advertising_agencies
|
bird:test.json:2109
|
List all payment ids and its corresponding invoice ids and details.
|
SELECT payment_id , invoice_id , payment_details FROM Payments
|
[
"List",
"all",
"payment",
"ids",
"and",
"its",
"corresponding",
"invoice",
"ids",
"and",
"details",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "payment_details"
},
{
"id": 1,
"type": "column",
"value": "payment_id"
},
{
"id": 2,
"type": "column",
"value": "invoice_id"
},
{
"id": 0,
"type": "table",
"value": "payments"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
7,
8
]
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O"
] |
12,924
|
world_development_indicators
|
bird:train.json:2176
|
How many footnotes have been made in year 1980 and what are the table names of these countries that made the footnotes?
|
SELECT COUNT(T2.Description) FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Year = 'YR1980' UNION ALL SELECT DISTINCT T1.TableName FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Year = 'YR1980'
|
[
"How",
"many",
"footnotes",
"have",
"been",
"made",
"in",
"year",
"1980",
"and",
"what",
"are",
"the",
"table",
"names",
"of",
"these",
"countries",
"that",
"made",
"the",
"footnotes",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "description"
},
{
"id": 6,
"type": "column",
"value": "countrycode"
},
{
"id": 1,
"type": "table",
"value": "footnotes"
},
{
"id": 4,
"type": "column",
"value": "tablename"
},
{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "YR1980"
},
{
"id": 2,
"type": "column",
"value": "year"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
17
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
13,
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
12,925
|
roller_coaster
|
spider:train_spider.json:6211
|
Please show the most common status of roller coasters.
|
SELECT Status FROM roller_coaster GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1
|
[
"Please",
"show",
"the",
"most",
"common",
"status",
"of",
"roller",
"coasters",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "roller_coaster"
},
{
"id": 1,
"type": "column",
"value": "status"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7,
8
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
12,926
|
european_football_1
|
bird:train.json:2787
|
How many times did the team Werder Bremen win as the away team in matches of the Bundesliga division?
|
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.AwayTeam = 'Werder Bremen' AND T1.FTR = 'A'
|
[
"How",
"many",
"times",
"did",
"the",
"team",
"Werder",
"Bremen",
"win",
"as",
"the",
"away",
"team",
"in",
"matches",
"of",
"the",
"Bundesliga",
"division",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Werder Bremen"
},
{
"id": 5,
"type": "value",
"value": "Bundesliga"
},
{
"id": 1,
"type": "table",
"value": "divisions"
},
{
"id": 3,
"type": "column",
"value": "division"
},
{
"id": 6,
"type": "column",
"value": "awayteam"
},
{
"id": 0,
"type": "table",
"value": "matchs"
},
{
"id": 4,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "div"
},
{
"id": 8,
"type": "column",
"value": "ftr"
},
{
"id": 9,
"type": "value",
"value": "A"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
18
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
17
]
},
{
"entity_id": 6,
"token_idxs": [
11,
12
]
},
{
"entity_id": 7,
"token_idxs": [
6,
7
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
9
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
12,927
|
college_2
|
spider:train_spider.json:1335
|
Count the number of classrooms in Lamberton.
|
SELECT count(*) FROM classroom WHERE building = 'Lamberton'
|
[
"Count",
"the",
"number",
"of",
"classrooms",
"in",
"Lamberton",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "classroom"
},
{
"id": 2,
"type": "value",
"value": "Lamberton"
},
{
"id": 1,
"type": "column",
"value": "building"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
12,928
|
talkingdata
|
bird:train.json:1196
|
Among the users who are above 20, how many users use device model of ELIFE E7 Mini?
|
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'ELIFE E7 Mini' AND T1.age > 20
|
[
"Among",
"the",
"users",
"who",
"are",
"above",
"20",
",",
"how",
"many",
"users",
"use",
"device",
"model",
"of",
"ELIFE",
"E7",
"Mini",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "phone_brand_device_model2"
},
{
"id": 4,
"type": "value",
"value": "ELIFE E7 Mini"
},
{
"id": 3,
"type": "column",
"value": "device_model"
},
{
"id": 0,
"type": "table",
"value": "gender_age"
},
{
"id": 2,
"type": "column",
"value": "device_id"
},
{
"id": 5,
"type": "column",
"value": "age"
},
{
"id": 6,
"type": "value",
"value": "20"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": [
15,
16,
17
]
},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
12,929
|
hockey
|
bird:train.json:7618
|
What is the average weight of players who have height greater than 72 inches.
|
SELECT AVG(weight) FROM Master WHERE height > 72
|
[
"What",
"is",
"the",
"average",
"weight",
"of",
"players",
"who",
"have",
"height",
"greater",
"than",
"72",
"inches",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "master"
},
{
"id": 1,
"type": "column",
"value": "height"
},
{
"id": 3,
"type": "column",
"value": "weight"
},
{
"id": 2,
"type": "value",
"value": "72"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O"
] |
12,930
|
student_loan
|
bird:train.json:4444
|
How many students have been absents for more than 6 months?
|
SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 6
|
[
"How",
"many",
"students",
"have",
"been",
"absents",
"for",
"more",
"than",
"6",
"months",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "longest_absense_from_school"
},
{
"id": 1,
"type": "column",
"value": "month"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "value",
"value": "6"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"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",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
12,931
|
bike_1
|
spider:train_spider.json:166
|
How many trips did not end in San Francisco?
|
SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"
|
[
"How",
"many",
"trips",
"did",
"not",
"end",
"in",
"San",
"Francisco",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "end_station_id"
},
{
"id": 3,
"type": "column",
"value": "San Francisco"
},
{
"id": 1,
"type": "table",
"value": "station"
},
{
"id": 0,
"type": "table",
"value": "trip"
},
{
"id": 2,
"type": "column",
"value": "city"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
12,932
|
company_office
|
spider:train_spider.json:4552
|
Compute the average profits companies make.
|
SELECT avg(Profits_billion) FROM Companies
|
[
"Compute",
"the",
"average",
"profits",
"companies",
"make",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "profits_billion"
},
{
"id": 0,
"type": "table",
"value": "companies"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O"
] |
12,933
|
language_corpus
|
bird:train.json:5722
|
Indicate the page id of Wikipedia about Catalan language of all the pages that have a numeric value in their title.
|
SELECT pid, title FROM pages WHERE title LIKE '%0%' OR '%1%' OR '%2%' OR '%3%' OR '%4%' OR '%5%' OR '%6%' OR '%7%' OR '%8%' OR '%9%'
|
[
"Indicate",
"the",
"page",
"i",
"d",
"of",
"Wikipedia",
"about",
"Catalan",
"language",
"of",
"all",
"the",
"pages",
"that",
"have",
"a",
"numeric",
"value",
"in",
"their",
"title",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "pages"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 1,
"type": "column",
"value": "pid"
},
{
"id": 3,
"type": "value",
"value": "%1%"
},
{
"id": 4,
"type": "value",
"value": "%2%"
},
{
"id": 5,
"type": "value",
"value": "%3%"
},
{
"id": 6,
"type": "value",
"value": "%4%"
},
{
"id": 7,
"type": "value",
"value": "%5%"
},
{
"id": 8,
"type": "value",
"value": "%6%"
},
{
"id": 9,
"type": "value",
"value": "%7%"
},
{
"id": 10,
"type": "value",
"value": "%8%"
},
{
"id": 11,
"type": "value",
"value": "%9%"
},
{
"id": 12,
"type": "value",
"value": "%0%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
21
]
},
{
"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",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
12,934
|
flight_4
|
spider:train_spider.json:6838
|
What is the name and city of the airport from most of the routes start?
|
SELECT T1.name , T1.city , T2.src_apid FROM airports AS T1 JOIN routes AS T2 ON T1.apid = T2.src_apid GROUP BY T2.src_apid ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"name",
"and",
"city",
"of",
"the",
"airport",
"from",
"most",
"of",
"the",
"routes",
"start",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "src_apid"
},
{
"id": 3,
"type": "table",
"value": "airports"
},
{
"id": 4,
"type": "table",
"value": "routes"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "city"
},
{
"id": 5,
"type": "column",
"value": "apid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
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",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
12,935
|
thrombosis_prediction
|
bird:dev.json:1267
|
Among the patients with normal anti-SM, how many of them does not have thrombosis?
|
SELECT COUNT(T1.ID) FROM Examination AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.SM IN ('negative','0') AND T1.Thrombosis = 0
|
[
"Among",
"the",
"patients",
"with",
"normal",
"anti",
"-",
"SM",
",",
"how",
"many",
"of",
"them",
"does",
"not",
"have",
"thrombosis",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "examination"
},
{
"id": 1,
"type": "table",
"value": "laboratory"
},
{
"id": 6,
"type": "column",
"value": "thrombosis"
},
{
"id": 4,
"type": "value",
"value": "negative"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 3,
"type": "column",
"value": "sm"
},
{
"id": 5,
"type": "value",
"value": "0"
}
] |
[
{
"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": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
12,936
|
olympics
|
bird:train.json:4967
|
How many persons in total have participated in 12 meter Mixed Sailing competitions?
|
SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN sport AS T3 ON T2.sport_id = T3.id WHERE T2.event_name = 'Sailing Mixed 12 metres'
|
[
"How",
"many",
"persons",
"in",
"total",
"have",
"participated",
"in",
"12",
"meter",
"Mixed",
"Sailing",
"competitions",
"?"
] |
[
{
"id": 2,
"type": "value",
"value": "Sailing Mixed 12 metres"
},
{
"id": 4,
"type": "table",
"value": "competitor_event"
},
{
"id": 3,
"type": "column",
"value": "competitor_id"
},
{
"id": 1,
"type": "column",
"value": "event_name"
},
{
"id": 6,
"type": "column",
"value": "sport_id"
},
{
"id": 8,
"type": "column",
"value": "event_id"
},
{
"id": 0,
"type": "table",
"value": "sport"
},
{
"id": 5,
"type": "table",
"value": "event"
},
{
"id": 7,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7,
8,
9
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"B-COLUMN",
"O"
] |
12,937
|
formula_1
|
bird:dev.json:982
|
How many American drivers have puncture status.
|
SELECT COUNT(T1.driverId) FROM drivers AS T1 INNER JOIN results AS T2 on T1.driverId = T2.driverId INNER JOIN status AS T3 on T2.statusId = T3.statusId WHERE T3.status = 'Puncture' AND T1.nationality = 'American'
|
[
"How",
"many",
"American",
"drivers",
"have",
"puncture",
"status",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "nationality"
},
{
"id": 1,
"type": "column",
"value": "driverid"
},
{
"id": 4,
"type": "column",
"value": "statusid"
},
{
"id": 6,
"type": "value",
"value": "Puncture"
},
{
"id": 8,
"type": "value",
"value": "American"
},
{
"id": 2,
"type": "table",
"value": "drivers"
},
{
"id": 3,
"type": "table",
"value": "results"
},
{
"id": 0,
"type": "table",
"value": "status"
},
{
"id": 5,
"type": "column",
"value": "status"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
2
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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",
"B-VALUE",
"B-COLUMN",
"O"
] |
12,938
|
public_review_platform
|
bird:train.json:4009
|
Among all closed businesses in Avondale, AZ what percent have obtained a 'wonderful experience' rating of the business.
|
SELECT CAST(SUM(CASE WHEN stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business WHERE city = 'Avondale' AND active = 'false'
|
[
"Among",
"all",
"closed",
"businesses",
"in",
"Avondale",
",",
"AZ",
"what",
"percent",
"have",
"obtained",
"a",
"'",
"wonderful",
"experience",
"'",
"rating",
"of",
"the",
"business",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "business"
},
{
"id": 2,
"type": "value",
"value": "Avondale"
},
{
"id": 3,
"type": "column",
"value": "active"
},
{
"id": 4,
"type": "value",
"value": "false"
},
{
"id": 6,
"type": "column",
"value": "stars"
},
{
"id": 1,
"type": "column",
"value": "city"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 7,
"type": "value",
"value": "0"
},
{
"id": 8,
"type": "value",
"value": "1"
},
{
"id": 9,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
20
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
12,939
|
company_office
|
spider:train_spider.json:4553
|
What are the maximum and minimum sales of the companies whose industries are not "Banking".
|
SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"
|
[
"What",
"are",
"the",
"maximum",
"and",
"minimum",
"sales",
"of",
"the",
"companies",
"whose",
"industries",
"are",
"not",
"\"",
"Banking",
"\"",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "sales_billion"
},
{
"id": 0,
"type": "table",
"value": "companies"
},
{
"id": 1,
"type": "column",
"value": "industry"
},
{
"id": 2,
"type": "column",
"value": "Banking"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
15
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
12,940
|
authors
|
bird:train.json:3583
|
What percentage of journals whose short name begins with ANN were published in the paper database in 1989?
|
SELECT CAST((SUM(CASE WHEN T1.ShortName LIKE 'ANN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.ShortName) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Year = 1989
|
[
"What",
"percentage",
"of",
"journals",
"whose",
"short",
"name",
"begins",
"with",
"ANN",
"were",
"published",
"in",
"the",
"paper",
"database",
"in",
"1989",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "journalid"
},
{
"id": 7,
"type": "column",
"value": "shortname"
},
{
"id": 0,
"type": "table",
"value": "journal"
},
{
"id": 1,
"type": "table",
"value": "paper"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "1989"
},
{
"id": 10,
"type": "value",
"value": "ANN%"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 4,
"type": "column",
"value": "id"
},
{
"id": 8,
"type": "value",
"value": "0"
},
{
"id": 9,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
17
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
5,
6
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
9
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O"
] |
12,941
|
video_game
|
bird:test.json:1940
|
Return the names and ids of all platforms with the download rank of 1.
|
SELECT Platform_name , Platform_ID FROM platform WHERE Download_rank = 1
|
[
"Return",
"the",
"names",
"and",
"ids",
"of",
"all",
"platforms",
"with",
"the",
"download",
"rank",
"of",
"1",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "platform_name"
},
{
"id": 3,
"type": "column",
"value": "download_rank"
},
{
"id": 2,
"type": "column",
"value": "platform_id"
},
{
"id": 0,
"type": "table",
"value": "platform"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10,
11
]
},
{
"entity_id": 4,
"token_idxs": [
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",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
12,942
|
college_2
|
spider:train_spider.json:1462
|
Find the building, room number, semester and year of all courses offered by Psychology department sorted by course titles.
|
SELECT T2.building , T2.room_number , T2.semester , T2.year FROM course AS T1 JOIN SECTION AS T2 ON T1.course_id = T2.course_id WHERE T1.dept_name = 'Psychology' ORDER BY T1.title
|
[
"Find",
"the",
"building",
",",
"room",
"number",
",",
"semester",
"and",
"year",
"of",
"all",
"courses",
"offered",
"by",
"Psychology",
"department",
"sorted",
"by",
"course",
"titles",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "room_number"
},
{
"id": 7,
"type": "value",
"value": "Psychology"
},
{
"id": 6,
"type": "column",
"value": "dept_name"
},
{
"id": 9,
"type": "column",
"value": "course_id"
},
{
"id": 0,
"type": "column",
"value": "building"
},
{
"id": 2,
"type": "column",
"value": "semester"
},
{
"id": 5,
"type": "table",
"value": "section"
},
{
"id": 4,
"type": "table",
"value": "course"
},
{
"id": 8,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "column",
"value": "year"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4,
5
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": [
19
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"entity_id": 7,
"token_idxs": [
15
]
},
{
"entity_id": 8,
"token_idxs": [
20
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
12,943
|
mondial_geo
|
bird:train.json:8277
|
What is the quantity of the mountains does Japan have?
|
SELECT COUNT(DISTINCT T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan'
|
[
"What",
"is",
"the",
"quantity",
"of",
"the",
"mountains",
"does",
"Japan",
"have",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "geo_mountain"
},
{
"id": 4,
"type": "column",
"value": "mountain"
},
{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "Japan"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "code"
}
] |
[
{
"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": [
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",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
12,944
|
authors
|
bird:train.json:3667
|
Provide the name of the author who is affiliated with the organization named 'ABB Electrical Machines'.
|
SELECT Name FROM Author WHERE Affiliation = 'ABB Electrical Machines'
|
[
"Provide",
"the",
"name",
"of",
"the",
"author",
"who",
"is",
"affiliated",
"with",
"the",
"organization",
"named",
"'",
"ABB",
"Electrical",
"Machines",
"'",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "ABB Electrical Machines"
},
{
"id": 2,
"type": "column",
"value": "affiliation"
},
{
"id": 0,
"type": "table",
"value": "author"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
14,
15,
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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
12,945
|
insurance_and_eClaims
|
spider:train_spider.json:1512
|
Find the type code of the most frequently used policy.
|
SELECT policy_type_code FROM policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1
|
[
"Find",
"the",
"type",
"code",
"of",
"the",
"most",
"frequently",
"used",
"policy",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "policy_type_code"
},
{
"id": 0,
"type": "table",
"value": "policies"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"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",
"O",
"B-TABLE",
"O"
] |
12,946
|
small_bank_1
|
spider:train_spider.json:1820
|
Find the name of accounts whose checking balance is higher than corresponding saving balance.
|
SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid WHERE T2.balance > T3.balance
|
[
"Find",
"the",
"name",
"of",
"accounts",
"whose",
"checking",
"balance",
"is",
"higher",
"than",
"corresponding",
"saving",
"balance",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "accounts"
},
{
"id": 4,
"type": "table",
"value": "checking"
},
{
"id": 1,
"type": "table",
"value": "savings"
},
{
"id": 2,
"type": "column",
"value": "balance"
},
{
"id": 5,
"type": "column",
"value": "custid"
},
{
"id": 0,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
12,947
|
superhero
|
bird:dev.json:783
|
Provide the eye colours of the heroes whose skin colours are gold.
|
SELECT T2.colour FROM superhero AS T1 INNER JOIN colour AS T2 ON T1.eye_colour_id = T2.id INNER JOIN colour AS T3 ON T1.skin_colour_id = T3.id WHERE T3.colour = 'Gold'
|
[
"Provide",
"the",
"eye",
"colours",
"of",
"the",
"heroes",
"whose",
"skin",
"colours",
"are",
"gold",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "skin_colour_id"
},
{
"id": 6,
"type": "column",
"value": "eye_colour_id"
},
{
"id": 3,
"type": "table",
"value": "superhero"
},
{
"id": 0,
"type": "column",
"value": "colour"
},
{
"id": 1,
"type": "table",
"value": "colour"
},
{
"id": 2,
"type": "value",
"value": "Gold"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
2,
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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
12,948
|
video_games
|
bird:train.json:3423
|
What are the names of the games published by American Softworks?
|
SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = 'American Softworks'
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"games",
"published",
"by",
"American",
"Softworks",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "American Softworks"
},
{
"id": 2,
"type": "column",
"value": "publisher_name"
},
{
"id": 5,
"type": "table",
"value": "game_publisher"
},
{
"id": 8,
"type": "column",
"value": "publisher_id"
},
{
"id": 0,
"type": "column",
"value": "game_name"
},
{
"id": 4,
"type": "table",
"value": "publisher"
},
{
"id": 6,
"type": "column",
"value": "game_id"
},
{
"id": 1,
"type": "table",
"value": "game"
},
{
"id": 7,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.