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
|
|---|---|---|---|---|---|---|---|---|
14,886
|
student_1
|
spider:train_spider.json:4061
|
Which are the first and last names of the students taught by MARROTTE KIRK?
|
SELECT T1.firstname , T1.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T2.firstname = "MARROTTE" AND T2.lastname = "KIRK"
|
[
"Which",
"are",
"the",
"first",
"and",
"last",
"names",
"of",
"the",
"students",
"taught",
"by",
"MARROTTE",
"KIRK",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 4,
"type": "column",
"value": "classroom"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 3,
"type": "table",
"value": "teachers"
},
{
"id": 5,
"type": "column",
"value": "MARROTTE"
},
{
"id": 2,
"type": "table",
"value": "list"
},
{
"id": 6,
"type": "column",
"value": "KIRK"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
2,
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": [
13
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,887
|
bike_1
|
spider:train_spider.json:160
|
Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
|
SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)
|
[
"Which",
"days",
"had",
"a",
"minimum",
"dew",
"point",
"smaller",
"than",
"any",
"day",
"in",
"zip",
"code",
"94107",
",",
"and",
"in",
"which",
"zip",
"codes",
"were",
"those",
"measurements",
"taken",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "min_dew_point_f"
},
{
"id": 2,
"type": "column",
"value": "zip_code"
},
{
"id": 0,
"type": "table",
"value": "weather"
},
{
"id": 4,
"type": "value",
"value": "94107"
},
{
"id": 1,
"type": "column",
"value": "date"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
21,
22
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12,
13
]
},
{
"entity_id": 3,
"token_idxs": [
4,
5,
6
]
},
{
"entity_id": 4,
"token_idxs": [
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",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O"
] |
14,888
|
simpson_episodes
|
bird:train.json:4232
|
What is the total number of awards won by The simpson 20s: Season 20?
|
SELECT COUNT(award_id) FROM Award WHERE result = 'Winner';
|
[
"What",
"is",
"the",
"total",
"number",
"of",
"awards",
"won",
"by",
"The",
"simpson",
"20s",
":",
"Season",
"20",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "award_id"
},
{
"id": 1,
"type": "column",
"value": "result"
},
{
"id": 2,
"type": "value",
"value": "Winner"
},
{
"id": 0,
"type": "table",
"value": "award"
}
] |
[
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,889
|
food_inspection
|
bird:train.json:8820
|
Among the top 5 owners with highest number of establishments, which owner has the highest number of high risk violations? Give the name of the owner.
|
SELECT T4.owner_name FROM violations AS T3 INNER JOIN businesses AS T4 ON T3.business_id = T4.business_id INNER JOIN ( SELECT T2.owner_name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id GROUP BY T2.owner_name ORDER BY COUNT(T1.business_id) DESC LIMIT 5 ) AS T5 ON T4.owner_name = T5.owner_name WHERE T3.risk_category = 'High Risk' GROUP BY T4.owner_name ORDER BY COUNT(T3.risk_category) DESC LIMIT 1
|
[
"Among",
"the",
"top",
"5",
"owners",
"with",
"highest",
"number",
"of",
"establishments",
",",
"which",
"owner",
"has",
"the",
"highest",
"number",
"of",
"high",
"risk",
"violations",
"?",
"Give",
"the",
"name",
"of",
"the",
"owner",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "risk_category"
},
{
"id": 5,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "column",
"value": "owner_name"
},
{
"id": 3,
"type": "table",
"value": "violations"
},
{
"id": 4,
"type": "table",
"value": "businesses"
},
{
"id": 2,
"type": "value",
"value": "High Risk"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
18,
19
]
},
{
"entity_id": 3,
"token_idxs": [
20
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,890
|
student_loan
|
bird:train.json:4430
|
Count the number of male students who belong to foreign legion.
|
SELECT COUNT(T1.name) FROM male AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'foreign_legion'
|
[
"Count",
"the",
"number",
"of",
"male",
"students",
"who",
"belong",
"to",
"foreign",
"legion",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "foreign_legion"
},
{
"id": 1,
"type": "table",
"value": "enlist"
},
{
"id": 2,
"type": "column",
"value": "organ"
},
{
"id": 0,
"type": "table",
"value": "male"
},
{
"id": 4,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,891
|
match_season
|
spider:train_spider.json:1083
|
Who are the different players, what season do they play in, and what is the name of the team they are on?
|
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
|
[
"Who",
"are",
"the",
"different",
"players",
",",
"what",
"season",
"do",
"they",
"play",
"in",
",",
"and",
"what",
"is",
"the",
"name",
"of",
"the",
"team",
"they",
"are",
"on",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "match_season"
},
{
"id": 6,
"type": "column",
"value": "team_id"
},
{
"id": 0,
"type": "column",
"value": "season"
},
{
"id": 1,
"type": "column",
"value": "player"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "table",
"value": "team"
},
{
"id": 5,
"type": "column",
"value": "team"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
17
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
20
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
14,892
|
customer_complaints
|
spider:train_spider.json:5812
|
Which state has the most customers?
|
SELECT state FROM customers GROUP BY state ORDER BY count(*) LIMIT 1
|
[
"Which",
"state",
"has",
"the",
"most",
"customers",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 1,
"type": "column",
"value": "state"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,893
|
apartment_rentals
|
spider:train_spider.json:1220
|
Show the apartment numbers, start dates, and end dates of all the apartment bookings.
|
SELECT T2.apt_number , T1.booking_start_date , T1.booking_start_date FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id
|
[
"Show",
"the",
"apartment",
"numbers",
",",
"start",
"dates",
",",
"and",
"end",
"dates",
"of",
"all",
"the",
"apartment",
"bookings",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "booking_start_date"
},
{
"id": 2,
"type": "table",
"value": "apartment_bookings"
},
{
"id": 0,
"type": "column",
"value": "apt_number"
},
{
"id": 3,
"type": "table",
"value": "apartments"
},
{
"id": 4,
"type": "column",
"value": "apt_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
14,
15
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
14,894
|
chicago_crime
|
bird:train.json:8592
|
How many neighborhoods are there in the community area of Lincoln Square?
|
SELECT COUNT(T3.community_area_no) FROM ( SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE community_area_name = 'Lincoln Square' GROUP BY T1.community_area_no ) T3
|
[
"How",
"many",
"neighborhoods",
"are",
"there",
"in",
"the",
"community",
"area",
"of",
"Lincoln",
"Square",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "community_area_name"
},
{
"id": 0,
"type": "column",
"value": "community_area_no"
},
{
"id": 1,
"type": "table",
"value": "community_area"
},
{
"id": 4,
"type": "value",
"value": "Lincoln Square"
},
{
"id": 2,
"type": "table",
"value": "neighborhood"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7,
8
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,895
|
legislator
|
bird:train.json:4806
|
How many legislators have not been registered in Federal Election Commission data?
|
SELECT COUNT(*) FROM current WHERE fec_id IS NULL OR fec_id = ''
|
[
"How",
"many",
"legislators",
"have",
"not",
"been",
"registered",
"in",
"Federal",
"Election",
"Commission",
"data",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "current"
},
{
"id": 1,
"type": "column",
"value": "fec_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,896
|
pilot_1
|
bird:test.json:1107
|
How many different places have some plane?
|
SELECT count(DISTINCT LOCATION) FROM hangar
|
[
"How",
"many",
"different",
"places",
"have",
"some",
"plane",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "location"
},
{
"id": 0,
"type": "table",
"value": "hangar"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,897
|
icfp_1
|
spider:train_spider.json:2887
|
Find the number of papers published by authors from the institution "Tokohu University".
|
SELECT count(DISTINCT t1.title) FROM papers AS t1 JOIN authorship AS t2 ON t1.paperid = t2.paperid JOIN inst AS t3 ON t2.instid = t3.instid WHERE t3.name = "Tokohu University"
|
[
"Find",
"the",
"number",
"of",
"papers",
"published",
"by",
"authors",
"from",
"the",
"institution",
"\"",
"Tokohu",
"University",
"\"",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "Tokohu University"
},
{
"id": 5,
"type": "table",
"value": "authorship"
},
{
"id": 7,
"type": "column",
"value": "paperid"
},
{
"id": 4,
"type": "table",
"value": "papers"
},
{
"id": 6,
"type": "column",
"value": "instid"
},
{
"id": 3,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "table",
"value": "inst"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
12,
13
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"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",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,898
|
medicine_enzyme_interaction
|
spider:train_spider.json:956
|
What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
|
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
|
[
"What",
"is",
"the",
"type",
"of",
"interaction",
"for",
"the",
"enzyme",
"named",
"'",
"ALA",
"synthase",
"'",
"and",
"the",
"medicine",
"named",
"'",
"Aripiprazole",
"'",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "medicine_enzyme_interaction"
},
{
"id": 0,
"type": "column",
"value": "interaction_type"
},
{
"id": 7,
"type": "value",
"value": "ALA synthase"
},
{
"id": 8,
"type": "value",
"value": "Aripiprazole"
},
{
"id": 9,
"type": "column",
"value": "medicine_id"
},
{
"id": 4,
"type": "column",
"value": "enzyme_id"
},
{
"id": 3,
"type": "table",
"value": "medicine"
},
{
"id": 1,
"type": "table",
"value": "enzyme"
},
{
"id": 6,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": [
11,
12
]
},
{
"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",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
14,899
|
store_product
|
spider:train_spider.json:4934
|
Find all the product whose name contains the word "Scanner".
|
SELECT product FROM product WHERE product LIKE "%Scanner%"
|
[
"Find",
"all",
"the",
"product",
"whose",
"name",
"contains",
"the",
"word",
"\"",
"Scanner",
"\"",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "%Scanner%"
},
{
"id": 0,
"type": "table",
"value": "product"
},
{
"id": 1,
"type": "column",
"value": "product"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,900
|
beer_factory
|
bird:train.json:5319
|
List the brand IDs of the beers whose star rating is more than 3.
|
SELECT BrandID FROM rootbeerreview WHERE StarRating > 3
|
[
"List",
"the",
"brand",
"IDs",
"of",
"the",
"beers",
"whose",
"star",
"rating",
"is",
"more",
"than",
"3",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "rootbeerreview"
},
{
"id": 2,
"type": "column",
"value": "starrating"
},
{
"id": 1,
"type": "column",
"value": "brandid"
},
{
"id": 3,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"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",
"I-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,901
|
works_cycles
|
bird:train.json:7119
|
What are the company that Adventure Works deal with that have poor credit rating? Please provide their business number.
|
SELECT BusinessEntityID FROM Vendor WHERE CreditRating = ( SELECT CreditRating FROM Vendor ORDER BY CreditRating DESC LIMIT 1 )
|
[
"What",
"are",
"the",
"company",
"that",
"Adventure",
"Works",
"deal",
"with",
"that",
"have",
"poor",
"credit",
"rating",
"?",
"Please",
"provide",
"their",
"business",
"number",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "businessentityid"
},
{
"id": 2,
"type": "column",
"value": "creditrating"
},
{
"id": 0,
"type": "table",
"value": "vendor"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
18
]
},
{
"entity_id": 2,
"token_idxs": [
12,
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",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,902
|
superstore
|
bird:train.json:2421
|
Calculate the difference between the total sales in the East superstore and the total sales in the West superstore.
|
SELECT SUM(T1.Sales) - SUM(T2.Sales) AS difference FROM east_superstore AS T1 INNER JOIN west_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID`
|
[
"Calculate",
"the",
"difference",
"between",
"the",
"total",
"sales",
"in",
"the",
"East",
"superstore",
"and",
"the",
"total",
"sales",
"in",
"the",
"West",
"superstore",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "east_superstore"
},
{
"id": 1,
"type": "table",
"value": "west_superstore"
},
{
"id": 2,
"type": "column",
"value": "Customer ID"
},
{
"id": 3,
"type": "column",
"value": "sales"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9,
10
]
},
{
"entity_id": 1,
"token_idxs": [
17,
18
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
14,903
|
restaurant
|
bird:train.json:1750
|
How many of the cities are in a Bay Area?
|
SELECT COUNT(city) FROM geographic WHERE region = 'bay area'
|
[
"How",
"many",
"of",
"the",
"cities",
"are",
"in",
"a",
"Bay",
"Area",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "geographic"
},
{
"id": 2,
"type": "value",
"value": "bay area"
},
{
"id": 1,
"type": "column",
"value": "region"
},
{
"id": 3,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"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",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,904
|
flight_1
|
spider:train_spider.json:382
|
What is the number of flights?
|
SELECT count(*) FROM Flight
|
[
"What",
"is",
"the",
"number",
"of",
"flights",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "flight"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,905
|
game_injury
|
spider:train_spider.json:1292
|
For each injury accident, find the date of the game and the name of the injured player in the game, and sort the results in descending order of game season.
|
SELECT T1.date , T2.player FROM game AS T1 JOIN injury_accident AS T2 ON T1.id = T2.game_id ORDER BY T1.season DESC
|
[
"For",
"each",
"injury",
"accident",
",",
"find",
"the",
"date",
"of",
"the",
"game",
"and",
"the",
"name",
"of",
"the",
"injured",
"player",
"in",
"the",
"game",
",",
"and",
"sort",
"the",
"results",
"in",
"descending",
"order",
"of",
"game",
"season",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "injury_accident"
},
{
"id": 6,
"type": "column",
"value": "game_id"
},
{
"id": 1,
"type": "column",
"value": "player"
},
{
"id": 4,
"type": "column",
"value": "season"
},
{
"id": 0,
"type": "column",
"value": "date"
},
{
"id": 2,
"type": "table",
"value": "game"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
17
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
2,
3
]
},
{
"entity_id": 4,
"token_idxs": [
31
]
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
20
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,906
|
planet_1
|
bird:test.json:1879
|
List package number and weight of top 3 lightest packages.
|
SELECT PackageNumber , Weight FROM PACKAGE ORDER BY Weight ASC LIMIT 3;
|
[
"List",
"package",
"number",
"and",
"weight",
"of",
"top",
"3",
"lightest",
"packages",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "packagenumber"
},
{
"id": 0,
"type": "table",
"value": "package"
},
{
"id": 2,
"type": "column",
"value": "weight"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,907
|
retail_complains
|
bird:train.json:338
|
Which region has the second most clients?
|
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1
|
[
"Which",
"region",
"has",
"the",
"second",
"most",
"clients",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "district_id"
},
{
"id": 0,
"type": "column",
"value": "division"
},
{
"id": 2,
"type": "table",
"value": "district"
},
{
"id": 1,
"type": "table",
"value": "client"
}
] |
[
{
"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": []
},
{
"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"
] |
14,908
|
insurance_fnol
|
spider:train_spider.json:893
|
What are the customer phone numbers under the policy "Life Insurance"?
|
SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance"
|
[
"What",
"are",
"the",
"customer",
"phone",
"numbers",
"under",
"the",
"policy",
"\"",
"Life",
"Insurance",
"\"",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "available_policies"
},
{
"id": 2,
"type": "column",
"value": "policy_type_code"
},
{
"id": 1,
"type": "column",
"value": "customer_phone"
},
{
"id": 3,
"type": "column",
"value": "Life Insurance"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10,
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
14,909
|
law_episode
|
bird:train.json:1341
|
How many credits have been displayed from episode 1 until 10?
|
SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.credited = 'true' AND T2.episode BETWEEN 1 AND 10
|
[
"How",
"many",
"credits",
"have",
"been",
"displayed",
"from",
"episode",
"1",
"until",
"10",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "episode_id"
},
{
"id": 2,
"type": "column",
"value": "person_id"
},
{
"id": 4,
"type": "column",
"value": "credited"
},
{
"id": 1,
"type": "table",
"value": "episode"
},
{
"id": 6,
"type": "column",
"value": "episode"
},
{
"id": 0,
"type": "table",
"value": "credit"
},
{
"id": 5,
"type": "value",
"value": "true"
},
{
"id": 8,
"type": "value",
"value": "10"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": [
8
]
},
{
"entity_id": 8,
"token_idxs": [
10
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
14,910
|
authors
|
bird:train.json:3640
|
How many journals don’t have a short name?
|
SELECT COUNT(ShortName) FROM Journal WHERE ShortName = ''
|
[
"How",
"many",
"journals",
"do",
"n’t",
"have",
"a",
"short",
"name",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "shortname"
},
{
"id": 0,
"type": "table",
"value": "journal"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
7,
8
]
},
{
"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",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,911
|
dorm_1
|
spider:train_spider.json:5751
|
What are the names of the amenities that Smith Hall has?
|
SELECT T3.amenity_name FROM dorm AS T1 JOIN has_amenity AS T2 ON T1.dormid = T2.dormid JOIN dorm_amenity AS T3 ON T2.amenid = T3.amenid WHERE T1.dorm_name = 'Smith Hall'
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"amenities",
"that",
"Smith",
"Hall",
"has",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "amenity_name"
},
{
"id": 1,
"type": "table",
"value": "dorm_amenity"
},
{
"id": 5,
"type": "table",
"value": "has_amenity"
},
{
"id": 3,
"type": "value",
"value": "Smith Hall"
},
{
"id": 2,
"type": "column",
"value": "dorm_name"
},
{
"id": 6,
"type": "column",
"value": "amenid"
},
{
"id": 7,
"type": "column",
"value": "dormid"
},
{
"id": 4,
"type": "table",
"value": "dorm"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8,
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
14,912
|
shakespeare
|
bird:train.json:3004
|
How many acts are there in Sonnets?
|
SELECT SUM(DISTINCT T2.Act) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Sonnets'
|
[
"How",
"many",
"acts",
"are",
"there",
"in",
"Sonnets",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "chapters"
},
{
"id": 3,
"type": "value",
"value": "Sonnets"
},
{
"id": 6,
"type": "column",
"value": "work_id"
},
{
"id": 0,
"type": "table",
"value": "works"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "column",
"value": "act"
},
{
"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": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,913
|
ice_hockey_draft
|
bird:train.json:6960
|
What is the percentage of players who were born in Denmark and weight above 154 lbs?
|
SELECT CAST(COUNT(CASE WHEN T1.nation = 'Denmark' AND T2.weight_in_lbs > 154 THEN T1.ELITEID ELSE NULL END) AS REAL) * 100 / COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id
|
[
"What",
"is",
"the",
"percentage",
"of",
"players",
"who",
"were",
"born",
"in",
"Denmark",
"and",
"weight",
"above",
"154",
"lbs",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "weight_in_lbs"
},
{
"id": 1,
"type": "table",
"value": "weight_info"
},
{
"id": 0,
"type": "table",
"value": "playerinfo"
},
{
"id": 3,
"type": "column",
"value": "weight_id"
},
{
"id": 5,
"type": "column",
"value": "eliteid"
},
{
"id": 7,
"type": "value",
"value": "Denmark"
},
{
"id": 2,
"type": "column",
"value": "weight"
},
{
"id": 6,
"type": "column",
"value": "nation"
},
{
"id": 4,
"type": "value",
"value": "100"
},
{
"id": 9,
"type": "value",
"value": "154"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
10
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
14
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"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-VALUE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
14,914
|
public_review_platform
|
bird:train.json:4090
|
Sum up the likes get by short reviews on businesses located in City Goodyear.
|
SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear'
|
[
"Sum",
"up",
"the",
"likes",
"get",
"by",
"short",
"reviews",
"on",
"businesses",
"located",
"in",
"City",
"Goodyear",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "table",
"value": "business"
},
{
"id": 3,
"type": "value",
"value": "Goodyear"
},
{
"id": 4,
"type": "column",
"value": "likes"
},
{
"id": 1,
"type": "table",
"value": "tips"
},
{
"id": 2,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,915
|
tracking_software_problems
|
spider:train_spider.json:5352
|
What is the id of the problem log that is created most recently?
|
SELECT problem_log_id FROM problem_log ORDER BY log_entry_date DESC LIMIT 1
|
[
"What",
"is",
"the",
"i",
"d",
"of",
"the",
"problem",
"log",
"that",
"is",
"created",
"most",
"recently",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "problem_log_id"
},
{
"id": 2,
"type": "column",
"value": "log_entry_date"
},
{
"id": 0,
"type": "table",
"value": "problem_log"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7,
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,916
|
sing_contest
|
bird:test.json:744
|
What are the maximum and minimum voice sound quality score of the performances?
|
SELECT max(voice_sound_quality) , min(voice_sound_quality) FROM performance_score
|
[
"What",
"are",
"the",
"maximum",
"and",
"minimum",
"voice",
"sound",
"quality",
"score",
"of",
"the",
"performances",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "voice_sound_quality"
},
{
"id": 0,
"type": "table",
"value": "performance_score"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,917
|
toxicology
|
bird:dev.json:222
|
What is the difference between the number of molecules that are carcinogenic and those that are not?
|
SELECT COUNT(CASE WHEN T.label = '+' THEN T.molecule_id ELSE NULL END) - COUNT(CASE WHEN T.label = '-' THEN T.molecule_id ELSE NULL END) AS diff_car_notcar FROM molecule t
|
[
"What",
"is",
"the",
"difference",
"between",
"the",
"number",
"of",
"molecules",
"that",
"are",
"carcinogenic",
"and",
"those",
"that",
"are",
"not",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "molecule_id"
},
{
"id": 0,
"type": "table",
"value": "molecule"
},
{
"id": 2,
"type": "column",
"value": "label"
},
{
"id": 3,
"type": "value",
"value": "+"
},
{
"id": 4,
"type": "value",
"value": "-"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,918
|
mondial_geo
|
bird:train.json:8363
|
Which Arabic-speaking country has the smallest population?
|
SELECT T1.Name FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Arabic' AND T2.Percentage = 100 ORDER BY T1.Population ASC LIMIT 1
|
[
"Which",
"Arabic",
"-",
"speaking",
"country",
"has",
"the",
"smallest",
"population",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "population"
},
{
"id": 7,
"type": "column",
"value": "percentage"
},
{
"id": 2,
"type": "table",
"value": "language"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "country"
},
{
"id": 6,
"type": "value",
"value": "Arabic"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "column",
"value": "code"
},
{
"id": 8,
"type": "value",
"value": "100"
}
] |
[
{
"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": []
},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
"entity_id": 6,
"token_idxs": [
1
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,919
|
bakery_1
|
bird:test.json:1489
|
What is the cheapest cookie and its flavor?
|
SELECT id , flavor FROM goods WHERE food = "Cookie" ORDER BY price LIMIT 1
|
[
"What",
"is",
"the",
"cheapest",
"cookie",
"and",
"its",
"flavor",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "flavor"
},
{
"id": 4,
"type": "column",
"value": "Cookie"
},
{
"id": 0,
"type": "table",
"value": "goods"
},
{
"id": 5,
"type": "column",
"value": "price"
},
{
"id": 3,
"type": "column",
"value": "food"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
14,920
|
college_2
|
spider:train_spider.json:1456
|
Find the name of students who have taken the prerequisite course of the course with title International Finance.
|
SELECT T1.name FROM student AS T1 JOIN takes AS T2 ON T1.id = T2.id WHERE T2.course_id IN (SELECT T4.prereq_id FROM course AS T3 JOIN prereq AS T4 ON T3.course_id = T4.course_id WHERE T3.title = 'International Finance')
|
[
"Find",
"the",
"name",
"of",
"students",
"who",
"have",
"taken",
"the",
"prerequisite",
"course",
"of",
"the",
"course",
"with",
"title",
"International",
"Finance",
"."
] |
[
{
"id": 9,
"type": "value",
"value": "International Finance"
},
{
"id": 3,
"type": "column",
"value": "course_id"
},
{
"id": 5,
"type": "column",
"value": "prereq_id"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 6,
"type": "table",
"value": "course"
},
{
"id": 7,
"type": "table",
"value": "prereq"
},
{
"id": 2,
"type": "table",
"value": "takes"
},
{
"id": 8,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
0
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
13
]
},
{
"entity_id": 7,
"token_idxs": [
9
]
},
{
"entity_id": 8,
"token_idxs": [
15
]
},
{
"entity_id": 9,
"token_idxs": [
16,
17
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O"
] |
14,921
|
csu_1
|
spider:train_spider.json:2388
|
What is the campus fee of "San Francisco State University" in year 2000?
|
SELECT t1.campusfee FROM csu_fees AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t2.campus = "San Francisco State University" AND t1.year = 2000
|
[
"What",
"is",
"the",
"campus",
"fee",
"of",
"\"",
"San",
"Francisco",
"State",
"University",
"\"",
"in",
"year",
"2000",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "San Francisco State University"
},
{
"id": 0,
"type": "column",
"value": "campusfee"
},
{
"id": 1,
"type": "table",
"value": "csu_fees"
},
{
"id": 2,
"type": "table",
"value": "campuses"
},
{
"id": 3,
"type": "column",
"value": "campus"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 7,
"type": "value",
"value": "2000"
},
{
"id": 4,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7,
8,
9,
10
]
},
{
"entity_id": 6,
"token_idxs": [
13
]
},
{
"entity_id": 7,
"token_idxs": [
14
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,922
|
pilot_1
|
bird:test.json:1145
|
Find pilots who own planes Piper Cub and B-52 Bomber.
|
SELECT pilot_name FROM pilotskills WHERE plane_name = 'Piper Cub' INTERSECT SELECT pilot_name FROM pilotskills WHERE plane_name = 'B-52 Bomber'
|
[
"Find",
"pilots",
"who",
"own",
"planes",
"Piper",
"Cub",
"and",
"B-52",
"Bomber",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "pilotskills"
},
{
"id": 4,
"type": "value",
"value": "B-52 Bomber"
},
{
"id": 1,
"type": "column",
"value": "pilot_name"
},
{
"id": 2,
"type": "column",
"value": "plane_name"
},
{
"id": 3,
"type": "value",
"value": "Piper Cub"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
5,
6
]
},
{
"entity_id": 4,
"token_idxs": [
8,
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,923
|
e_commerce
|
bird:test.json:61
|
How many orders has each gender placed?
|
SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.gender_code
|
[
"How",
"many",
"orders",
"has",
"each",
"gender",
"placed",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "gender_code"
},
{
"id": 3,
"type": "column",
"value": "customer_id"
},
{
"id": 1,
"type": "table",
"value": "customers"
},
{
"id": 2,
"type": "table",
"value": "orders"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,924
|
movie_3
|
bird:train.json:9130
|
Among the films that the customer RUTH MARTINEZ has rented, how many of them are released in 2006?
|
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T4.release_year = 2006 AND T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ'
|
[
"Among",
"the",
"films",
"that",
"the",
"customer",
"RUTH",
"MARTINEZ",
"has",
"rented",
",",
"how",
"many",
"of",
"them",
"are",
"released",
"in",
"2006",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "release_year"
},
{
"id": 12,
"type": "column",
"value": "inventory_id"
},
{
"id": 1,
"type": "column",
"value": "customer_id"
},
{
"id": 6,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "table",
"value": "inventory"
},
{
"id": 8,
"type": "column",
"value": "last_name"
},
{
"id": 9,
"type": "value",
"value": "MARTINEZ"
},
{
"id": 10,
"type": "table",
"value": "customer"
},
{
"id": 3,
"type": "column",
"value": "film_id"
},
{
"id": 11,
"type": "table",
"value": "rental"
},
{
"id": 0,
"type": "table",
"value": "film"
},
{
"id": 5,
"type": "value",
"value": "2006"
},
{
"id": 7,
"type": "value",
"value": "RUTH"
}
] |
[
{
"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": [
16
]
},
{
"entity_id": 5,
"token_idxs": [
18
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
6
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
7
]
},
{
"entity_id": 10,
"token_idxs": [
5
]
},
{
"entity_id": 11,
"token_idxs": [
9
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"B-VALUE",
"B-VALUE",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,925
|
movie_platform
|
bird:train.json:60
|
Please list the titles of the movie lists user 32172230 created when he or she was eligible for trial.
|
SELECT T1.list_title FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 32172230 AND T2.user_eligible_for_trial = 1
|
[
"Please",
"list",
"the",
"titles",
"of",
"the",
"movie",
"lists",
"user",
"32172230",
"created",
"when",
"he",
"or",
"she",
"was",
"eligible",
"for",
"trial",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "user_eligible_for_trial"
},
{
"id": 2,
"type": "table",
"value": "lists_users"
},
{
"id": 0,
"type": "column",
"value": "list_title"
},
{
"id": 4,
"type": "value",
"value": "32172230"
},
{
"id": 3,
"type": "column",
"value": "user_id"
},
{
"id": 7,
"type": "column",
"value": "list_id"
},
{
"id": 1,
"type": "table",
"value": "lists"
},
{
"id": 6,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
16,
17,
18
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
1
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
14,926
|
talkingdata
|
bird:train.json:1240
|
List all females aged 24 to 26 devices' locations.
|
SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'
|
[
"List",
"all",
"females",
"aged",
"24",
"to",
"26",
"devices",
"'",
"locations",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "events_relevant"
},
{
"id": 2,
"type": "table",
"value": "gender_age"
},
{
"id": 0,
"type": "column",
"value": "longitude"
},
{
"id": 4,
"type": "column",
"value": "device_id"
},
{
"id": 1,
"type": "column",
"value": "latitude"
},
{
"id": 6,
"type": "value",
"value": "F24-26"
},
{
"id": 7,
"type": "column",
"value": "gender"
},
{
"id": 5,
"type": "column",
"value": "group"
},
{
"id": 8,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
3
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
14,927
|
address
|
bird:train.json:5136
|
Calculate the ratio between the number of representatives in Alabama and the number of representatives in Illinois.
|
SELECT CAST(COUNT(CASE WHEN state = 'Alabama' THEN cognress_rep_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN state = 'Illinois' THEN cognress_rep_id ELSE NULL END) FROM congress
|
[
"Calculate",
"the",
"ratio",
"between",
"the",
"number",
"of",
"representatives",
"in",
"Alabama",
"and",
"the",
"number",
"of",
"representatives",
"in",
"Illinois",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "cognress_rep_id"
},
{
"id": 0,
"type": "table",
"value": "congress"
},
{
"id": 3,
"type": "value",
"value": "Illinois"
},
{
"id": 4,
"type": "value",
"value": "Alabama"
},
{
"id": 2,
"type": "column",
"value": "state"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,928
|
movielens
|
bird:train.json:2343
|
What is the percentage difference of English and non-English-language crime movies in other countries in year 3?
|
SELECT CAST(SUM(IIF(T1.isEnglish = 'T', 1, 0)) - SUM(IIF(T1.isEnglish = 'F', 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'other' AND T1.year = 3
|
[
"What",
"is",
"the",
"percentage",
"difference",
"of",
"English",
"and",
"non",
"-",
"English",
"-",
"language",
"crime",
"movies",
"in",
"other",
"countries",
"in",
"year",
"3",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "movies2directors"
},
{
"id": 10,
"type": "column",
"value": "isenglish"
},
{
"id": 2,
"type": "column",
"value": "movieid"
},
{
"id": 3,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "movies"
},
{
"id": 4,
"type": "value",
"value": "other"
},
{
"id": 5,
"type": "column",
"value": "year"
},
{
"id": 7,
"type": "value",
"value": "100"
},
{
"id": 6,
"type": "value",
"value": "3"
},
{
"id": 8,
"type": "value",
"value": "1"
},
{
"id": 9,
"type": "value",
"value": "0"
},
{
"id": 11,
"type": "value",
"value": "T"
},
{
"id": 12,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": [
15
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
17
]
},
{
"entity_id": 4,
"token_idxs": [
16
]
},
{
"entity_id": 5,
"token_idxs": [
19
]
},
{
"entity_id": 6,
"token_idxs": [
20
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
10
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": [
5
]
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"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",
"B-TABLE",
"B-TABLE",
"B-VALUE",
"B-COLUMN",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,929
|
student_1
|
spider:train_spider.json:4086
|
Report the number of students in each classroom.
|
SELECT classroom , count(*) FROM list GROUP BY classroom
|
[
"Report",
"the",
"number",
"of",
"students",
"in",
"each",
"classroom",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "classroom"
},
{
"id": 0,
"type": "table",
"value": "list"
}
] |
[
{
"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"
] |
14,930
|
world_development_indicators
|
bird:train.json:2120
|
Which countries have a fertility rate between 4 and 5 in 1979? List their names.
|
SELECT CountryName FROM Indicators WHERE Year = 1979 AND IndicatorName = 'Fertility rate, total (births per woman)' AND value >= 4 AND Value <= 5
|
[
"Which",
"countries",
"have",
"a",
"fertility",
"rate",
"between",
"4",
"and",
"5",
"in",
"1979",
"?",
"List",
"their",
"names",
"."
] |
[
{
"id": 5,
"type": "value",
"value": "Fertility rate, total (births per woman)"
},
{
"id": 4,
"type": "column",
"value": "indicatorname"
},
{
"id": 1,
"type": "column",
"value": "countryname"
},
{
"id": 0,
"type": "table",
"value": "indicators"
},
{
"id": 6,
"type": "column",
"value": "value"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "1979"
},
{
"id": 7,
"type": "value",
"value": "4"
},
{
"id": 8,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
4,
5,
6,
8
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
7
]
},
{
"entity_id": 8,
"token_idxs": [
9
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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-VALUE",
"I-VALUE",
"I-VALUE",
"B-VALUE",
"B-VALUE",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
14,931
|
synthea
|
bird:train.json:1524
|
List all the full names of patients with a condition described as cystitis.
|
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'
|
[
"List",
"all",
"the",
"full",
"names",
"of",
"patients",
"with",
"a",
"condition",
"described",
"as",
"cystitis",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "description"
},
{
"id": 3,
"type": "table",
"value": "conditions"
},
{
"id": 2,
"type": "table",
"value": "patients"
},
{
"id": 5,
"type": "value",
"value": "Cystitis"
},
{
"id": 6,
"type": "column",
"value": "patient"
},
{
"id": 0,
"type": "column",
"value": "first"
},
{
"id": 1,
"type": "column",
"value": "last"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
0
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"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": []
}
] |
[
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O"
] |
14,932
|
hockey
|
bird:train.json:7617
|
Name the goalies who played for more than two teams from Year 2000 to 2005.
|
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year >= 2000 AND T2.year <= 2005 GROUP BY T2.playerID HAVING COUNT(DISTINCT T2.tmID) > 2
|
[
"Name",
"the",
"goalies",
"who",
"played",
"for",
"more",
"than",
"two",
"teams",
"from",
"Year",
"2000",
"to",
"2005",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 0,
"type": "column",
"value": "playerid"
},
{
"id": 2,
"type": "column",
"value": "lastname"
},
{
"id": 4,
"type": "table",
"value": "goalies"
},
{
"id": 3,
"type": "table",
"value": "master"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 7,
"type": "value",
"value": "2000"
},
{
"id": 8,
"type": "value",
"value": "2005"
},
{
"id": 9,
"type": "column",
"value": "tmid"
},
{
"id": 5,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
0
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
11
]
},
{
"entity_id": 7,
"token_idxs": [
12
]
},
{
"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": []
}
] |
[
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
14,933
|
movie_platform
|
bird:train.json:153
|
What is the URL to the movie director page on Mubi of the movie titled "Red Blooded American Girl"
|
SELECT director_url FROM movies WHERE movie_title LIKE 'Red Blooded American Girl'
|
[
"What",
"is",
"the",
"URL",
"to",
"the",
"movie",
"director",
"page",
"on",
"Mubi",
"of",
"the",
"movie",
"titled",
"\"",
"Red",
"Blooded",
"American",
"Girl",
"\""
] |
[
{
"id": 3,
"type": "value",
"value": "Red Blooded American Girl"
},
{
"id": 1,
"type": "column",
"value": "director_url"
},
{
"id": 2,
"type": "column",
"value": "movie_title"
},
{
"id": 0,
"type": "table",
"value": "movies"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
14
]
},
{
"entity_id": 3,
"token_idxs": [
16,
17,
18,
19
]
},
{
"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",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
14,934
|
music_1
|
spider:train_spider.json:3574
|
What are the names of the artists who released a song that has the word love in its title, and where are the artists from?
|
SELECT T1.artist_name , T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.song_name LIKE "%love%"
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"artists",
"who",
"released",
"a",
"song",
"that",
"has",
"the",
"word",
"love",
"in",
"its",
"title",
",",
"and",
"where",
"are",
"the",
"artists",
"from",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "artist_name"
},
{
"id": 4,
"type": "column",
"value": "song_name"
},
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "table",
"value": "artist"
},
{
"id": 5,
"type": "column",
"value": "%love%"
},
{
"id": 3,
"type": "table",
"value": "song"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
24
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
14,935
|
movies_4
|
bird:train.json:481
|
List 10 movie titles that were produced in France.
|
SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France' LIMIT 10
|
[
"List",
"10",
"movie",
"titles",
"that",
"were",
"produced",
"in",
"France",
"."
] |
[
{
"id": 5,
"type": "table",
"value": "production_country"
},
{
"id": 2,
"type": "column",
"value": "country_name"
},
{
"id": 6,
"type": "column",
"value": "country_id"
},
{
"id": 7,
"type": "column",
"value": "movie_id"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "France"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "table",
"value": "movie"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
2
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,936
|
food_inspection_2
|
bird:train.json:6122
|
Among the facilities that had undergone at least one inspection in 2010, how many of them have the most serious food safety issues?
|
SELECT COUNT(DISTINCT T2.license_no) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T1.inspection_date) = '2010' AND T2.risk_level = 3
|
[
"Among",
"the",
"facilities",
"that",
"had",
"undergone",
"at",
"least",
"one",
"inspection",
"in",
"2010",
",",
"how",
"many",
"of",
"them",
"have",
"the",
"most",
"serious",
"food",
"safety",
"issues",
"?"
] |
[
{
"id": 7,
"type": "column",
"value": "inspection_date"
},
{
"id": 1,
"type": "table",
"value": "establishment"
},
{
"id": 0,
"type": "table",
"value": "inspection"
},
{
"id": 2,
"type": "column",
"value": "license_no"
},
{
"id": 4,
"type": "column",
"value": "risk_level"
},
{
"id": 3,
"type": "value",
"value": "2010"
},
{
"id": 6,
"type": "value",
"value": "%Y"
},
{
"id": 5,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,937
|
epinions_1
|
spider:train_spider.json:1690
|
List all information in the item table.
|
SELECT * FROM item
|
[
"List",
"all",
"information",
"in",
"the",
"item",
"table",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "item"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
14,938
|
body_builder
|
spider:train_spider.json:1150
|
How many body builders are there?
|
SELECT count(*) FROM body_builder
|
[
"How",
"many",
"body",
"builders",
"are",
"there",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "body_builder"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"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"
] |
14,939
|
school_player
|
spider:train_spider.json:4888
|
Please show different denominations and the corresponding number of schools in descending order.
|
SELECT Denomination , COUNT(*) FROM school GROUP BY Denomination ORDER BY COUNT(*) DESC
|
[
"Please",
"show",
"different",
"denominations",
"and",
"the",
"corresponding",
"number",
"of",
"schools",
"in",
"descending",
"order",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "denomination"
},
{
"id": 0,
"type": "table",
"value": "school"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,940
|
restaurant
|
bird:train.json:1762
|
In restaurants with a review of 2, how many restaurants have a street number below 500?
|
SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.review = 2 AND T1.street_num < 500
|
[
"In",
"restaurants",
"with",
"a",
"review",
"of",
"2",
",",
"how",
"many",
"restaurants",
"have",
"a",
"street",
"number",
"below",
"500",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "id_restaurant"
},
{
"id": 1,
"type": "table",
"value": "generalinfo"
},
{
"id": 5,
"type": "column",
"value": "street_num"
},
{
"id": 0,
"type": "table",
"value": "location"
},
{
"id": 3,
"type": "column",
"value": "review"
},
{
"id": 6,
"type": "value",
"value": "500"
},
{
"id": 4,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_id": 5,
"token_idxs": [
13,
14
]
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,941
|
school_player
|
spider:train_spider.json:4864
|
List the locations of schools in descending order of founded year.
|
SELECT LOCATION FROM school ORDER BY Founded DESC
|
[
"List",
"the",
"locations",
"of",
"schools",
"in",
"descending",
"order",
"of",
"founded",
"year",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "location"
},
{
"id": 2,
"type": "column",
"value": "founded"
},
{
"id": 0,
"type": "table",
"value": "school"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,942
|
company_office
|
spider:train_spider.json:4545
|
List the names of companies in descending order of market value.
|
SELECT name FROM Companies ORDER BY Market_Value_billion DESC
|
[
"List",
"the",
"names",
"of",
"companies",
"in",
"descending",
"order",
"of",
"market",
"value",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "market_value_billion"
},
{
"id": 0,
"type": "table",
"value": "companies"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
9,
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,943
|
human_resources
|
bird:train.json:8942
|
Among the employees who are Trainees, how many of them work in New York?
|
SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2 ON T1.locationID = T2.locationID INNER JOIN position AS T3 ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Trainee' AND T2.state = 'NY'
|
[
"Among",
"the",
"employees",
"who",
"are",
"Trainees",
",",
"how",
"many",
"of",
"them",
"work",
"in",
"New",
"York",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "positiontitle"
},
{
"id": 3,
"type": "column",
"value": "positionid"
},
{
"id": 8,
"type": "column",
"value": "locationid"
},
{
"id": 0,
"type": "table",
"value": "position"
},
{
"id": 1,
"type": "table",
"value": "employee"
},
{
"id": 2,
"type": "table",
"value": "location"
},
{
"id": 5,
"type": "value",
"value": "Trainee"
},
{
"id": 6,
"type": "column",
"value": "state"
},
{
"id": 7,
"type": "value",
"value": "NY"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
5
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"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",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,944
|
hockey
|
bird:train.json:7715
|
Who was the most clutch player in 1986? Give his full name.
|
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1986 GROUP BY T2.playerID ORDER BY SUM(T2.GWG) DESC LIMIT 1
|
[
"Who",
"was",
"the",
"most",
"clutch",
"player",
"in",
"1986",
"?",
"Give",
"his",
"full",
"name",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 0,
"type": "column",
"value": "playerid"
},
{
"id": 2,
"type": "column",
"value": "lastname"
},
{
"id": 4,
"type": "table",
"value": "scoring"
},
{
"id": 3,
"type": "table",
"value": "master"
},
{
"id": 5,
"type": "column",
"value": "year"
},
{
"id": 6,
"type": "value",
"value": "1986"
},
{
"id": 7,
"type": "column",
"value": "gwg"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
1,
2
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,945
|
legislator
|
bird:train.json:4853
|
Which legislators do not have instagram account?
|
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.instagram IS NULL
|
[
"Which",
"legislators",
"do",
"not",
"have",
"instagram",
"account",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "social-media"
},
{
"id": 5,
"type": "column",
"value": "bioguide_id"
},
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 4,
"type": "column",
"value": "instagram"
},
{
"id": 6,
"type": "column",
"value": "bioguide"
},
{
"id": 2,
"type": "table",
"value": "current"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,946
|
regional_sales
|
bird:train.json:2711
|
Please indicate store id in the state of California that have been applied 20% discount in store.
|
SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.State = 'California' AND T1.`Sales Channel` = 'In-Store' AND T1.`Discount Applied` = 0.2 THEN T2.StoreID END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL
|
[
"Please",
"indicate",
"store",
"i",
"d",
"in",
"the",
"state",
"of",
"California",
"that",
"have",
"been",
"applied",
"20",
"%",
"discount",
"in",
"store",
"."
] |
[
{
"id": 9,
"type": "column",
"value": "Discount Applied"
},
{
"id": 2,
"type": "table",
"value": "Store Locations"
},
{
"id": 7,
"type": "column",
"value": "Sales Channel"
},
{
"id": 1,
"type": "table",
"value": "Sales Orders"
},
{
"id": 6,
"type": "value",
"value": "California"
},
{
"id": 4,
"type": "column",
"value": "_storeid"
},
{
"id": 8,
"type": "value",
"value": "In-Store"
},
{
"id": 3,
"type": "column",
"value": "storeid"
},
{
"id": 5,
"type": "column",
"value": "state"
},
{
"id": 10,
"type": "value",
"value": "0.2"
},
{
"id": 0,
"type": "column",
"value": "t"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
17,
18
]
},
{
"entity_id": 9,
"token_idxs": [
16
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O"
] |
14,947
|
activity_1
|
spider:train_spider.json:6755
|
Show the faculty id of each faculty member, along with the number of students he or she advises.
|
SELECT T1.FacID , count(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.advisor GROUP BY T1.FacID
|
[
"Show",
"the",
"faculty",
"i",
"d",
"of",
"each",
"faculty",
"member",
",",
"along",
"with",
"the",
"number",
"of",
"students",
"he",
"or",
"she",
"advises",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "faculty"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 3,
"type": "column",
"value": "advisor"
},
{
"id": 0,
"type": "column",
"value": "facid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
15
]
},
{
"entity_id": 3,
"token_idxs": [
19
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,948
|
student_assessment
|
spider:train_spider.json:84
|
What are the ids of the candidates that have an outcome code of Pass?
|
SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass"
|
[
"What",
"are",
"the",
"ids",
"of",
"the",
"candidates",
"that",
"have",
"an",
"outcome",
"code",
"of",
"Pass",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "asessment_outcome_code"
},
{
"id": 0,
"type": "table",
"value": "candidate_assessments"
},
{
"id": 1,
"type": "column",
"value": "candidate_id"
},
{
"id": 3,
"type": "column",
"value": "Pass"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
9,
10,
11
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O"
] |
14,949
|
retails
|
bird:train.json:6819
|
Which customer is the most in debt?
|
SELECT c_name FROM customer WHERE c_acctbal = ( SELECT MIN(c_acctbal) FROM customer )
|
[
"Which",
"customer",
"is",
"the",
"most",
"in",
"debt",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "c_acctbal"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 1,
"type": "column",
"value": "c_name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,950
|
cre_Doc_Control_Systems
|
spider:train_spider.json:2119
|
What address was the document with id 4 mailed to?
|
SELECT Addresses.address_details FROM Addresses JOIN Documents_Mailed ON Documents_Mailed.mailed_to_address_id = Addresses.address_id WHERE document_id = 4;
|
[
"What",
"address",
"was",
"the",
"document",
"with",
"i",
"d",
"4",
"mailed",
"to",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "mailed_to_address_id"
},
{
"id": 2,
"type": "table",
"value": "documents_mailed"
},
{
"id": 0,
"type": "column",
"value": "address_details"
},
{
"id": 3,
"type": "column",
"value": "document_id"
},
{
"id": 6,
"type": "column",
"value": "address_id"
},
{
"id": 1,
"type": "table",
"value": "addresses"
},
{
"id": 4,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
14,951
|
store_1
|
spider:train_spider.json:593
|
Find the full name of employee who supported the most number of customers.
|
SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1
|
[
"Find",
"the",
"full",
"name",
"of",
"employee",
"who",
"supported",
"the",
"most",
"number",
"of",
"customers",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "support_rep_id"
},
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 3,
"type": "table",
"value": "employees"
},
{
"id": 4,
"type": "table",
"value": "customers"
},
{
"id": 0,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
0
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"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": []
}
] |
[
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,953
|
books
|
bird:train.json:5941
|
Calculate the percentage of the International shipping orders on 2022/11/10.
|
SELECT CAST(SUM(CASE WHEN T1.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipping_method AS T1 INNER JOIN cust_order AS T2 ON T1.method_id = T2.shipping_method_id WHERE T2.order_date LIKE '2022-11-10%'
|
[
"Calculate",
"the",
"percentage",
"of",
"the",
"International",
"shipping",
"orders",
"on",
"2022/11/10",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "shipping_method_id"
},
{
"id": 0,
"type": "table",
"value": "shipping_method"
},
{
"id": 10,
"type": "value",
"value": "International"
},
{
"id": 3,
"type": "value",
"value": "2022-11-10%"
},
{
"id": 9,
"type": "column",
"value": "method_name"
},
{
"id": 1,
"type": "table",
"value": "cust_order"
},
{
"id": 2,
"type": "column",
"value": "order_date"
},
{
"id": 4,
"type": "column",
"value": "method_id"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 7,
"type": "value",
"value": "0"
},
{
"id": 8,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
5
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,954
|
cars
|
bird:train.json:3067
|
What was the origin country of the car model ford torino produced in 1970?
|
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'ford torino' AND T2.model_year = 1970
|
[
"What",
"was",
"the",
"origin",
"country",
"of",
"the",
"car",
"model",
"ford",
"torino",
"produced",
"in",
"1970",
"?"
] |
[
{
"id": 6,
"type": "value",
"value": "ford torino"
},
{
"id": 3,
"type": "table",
"value": "production"
},
{
"id": 7,
"type": "column",
"value": "model_year"
},
{
"id": 5,
"type": "column",
"value": "car_name"
},
{
"id": 0,
"type": "column",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 4,
"type": "column",
"value": "origin"
},
{
"id": 2,
"type": "table",
"value": "data"
},
{
"id": 8,
"type": "value",
"value": "1970"
},
{
"id": 9,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11,
12
]
},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id": 5,
"token_idxs": [
7,
8
]
},
{
"entity_id": 6,
"token_idxs": [
9,
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
13
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"I-TABLE",
"B-VALUE",
"O"
] |
14,955
|
authors
|
bird:train.json:3629
|
Tell the number of papers that were presented at "International Symposium on Software Testing and Analysis" conference.
|
SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.FullName = 'International Symposium on Software Testing and Analysis'
|
[
"Tell",
"the",
"number",
"of",
"papers",
"that",
"were",
"presented",
"at",
"\"",
"International",
"Symposium",
"on",
"Software",
"Testing",
"and",
"Analysis",
"\"",
"conference",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "International Symposium on Software Testing and Analysis"
},
{
"id": 5,
"type": "column",
"value": "conferenceid"
},
{
"id": 1,
"type": "table",
"value": "conference"
},
{
"id": 2,
"type": "column",
"value": "fullname"
},
{
"id": 0,
"type": "table",
"value": "paper"
},
{
"id": 4,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
18
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10,
11,
12,
13,
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",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
14,956
|
shakespeare
|
bird:train.json:3028
|
How many "all" character names have the "all" abbreviation?
|
SELECT COUNT(id) FROM characters WHERE Abbrev = 'All'
|
[
"How",
"many",
"\"",
"all",
"\"",
"character",
"names",
"have",
"the",
"\"",
"all",
"\"",
"abbreviation",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "characters"
},
{
"id": 1,
"type": "column",
"value": "abbrev"
},
{
"id": 2,
"type": "value",
"value": "All"
},
{
"id": 3,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,957
|
shakespeare
|
bird:train.json:2969
|
When did Shakespeare write the first poem?
|
SELECT MIN(Date) FROM works WHERE GenreType = 'Poem'
|
[
"When",
"did",
"Shakespeare",
"write",
"the",
"first",
"poem",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "genretype"
},
{
"id": 0,
"type": "table",
"value": "works"
},
{
"id": 2,
"type": "value",
"value": "Poem"
},
{
"id": 3,
"type": "column",
"value": "date"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"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-VALUE",
"O"
] |
14,958
|
customers_card_transactions
|
spider:train_spider.json:702
|
What are the valid from and valid to dates for the card with the number 4560596484842?
|
SELECT date_valid_from , date_valid_to FROM Customers_cards WHERE card_number = "4560596484842"
|
[
"What",
"are",
"the",
"valid",
"from",
"and",
"valid",
"to",
"dates",
"for",
"the",
"card",
"with",
"the",
"number",
"4560596484842",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "customers_cards"
},
{
"id": 1,
"type": "column",
"value": "date_valid_from"
},
{
"id": 2,
"type": "column",
"value": "date_valid_to"
},
{
"id": 4,
"type": "column",
"value": "4560596484842"
},
{
"id": 3,
"type": "column",
"value": "card_number"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7
]
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,959
|
chicago_crime
|
bird:train.json:8646
|
How many crimes were handled by Brendan Reilly on 7th October 2018?
|
SELECT SUM(CASE WHEN T2.alderman_last_name = 'Reilly' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.alderman_name_suffix IS NULL AND T2.alderman_first_name = 'Brendan' AND date LIKE '10/7/2018%'
|
[
"How",
"many",
"crimes",
"were",
"handled",
"by",
"Brendan",
"Reilly",
"on",
"7th",
"October",
"2018",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "alderman_name_suffix"
},
{
"id": 4,
"type": "column",
"value": "alderman_first_name"
},
{
"id": 10,
"type": "column",
"value": "alderman_last_name"
},
{
"id": 7,
"type": "value",
"value": "10/7/2018%"
},
{
"id": 2,
"type": "column",
"value": "ward_no"
},
{
"id": 5,
"type": "value",
"value": "Brendan"
},
{
"id": 11,
"type": "value",
"value": "Reilly"
},
{
"id": 0,
"type": "table",
"value": "crime"
},
{
"id": 1,
"type": "table",
"value": "ward"
},
{
"id": 6,
"type": "column",
"value": "date"
},
{
"id": 8,
"type": "value",
"value": "0"
},
{
"id": 9,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": [
7
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
14,961
|
art_1
|
bird:test.json:1269
|
What are the titles of all paintings and sculpture works made by the artist whose id is 222?
|
SELECT T2.title FROM artists AS T1 JOIN paintings AS T2 ON T1.artistID = T2.painterID WHERE T1.artistID = 222 UNION SELECT T4.title FROM artists AS T3 JOIN sculptures AS T4 ON T3.artistID = T4.sculptorID WHERE T3.artistID = 222
|
[
"What",
"are",
"the",
"titles",
"of",
"all",
"paintings",
"and",
"sculpture",
"works",
"made",
"by",
"the",
"artist",
"whose",
"i",
"d",
"is",
"222",
"?"
] |
[
{
"id": 5,
"type": "table",
"value": "sculptures"
},
{
"id": 7,
"type": "column",
"value": "sculptorid"
},
{
"id": 2,
"type": "table",
"value": "paintings"
},
{
"id": 6,
"type": "column",
"value": "painterid"
},
{
"id": 3,
"type": "column",
"value": "artistid"
},
{
"id": 1,
"type": "table",
"value": "artists"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "value",
"value": "222"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
18
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
14,962
|
simpson_episodes
|
bird:train.json:4263
|
How much more votes for episode 1 than for episode 5?
|
SELECT SUM(CASE WHEN T1.episode = 1 THEN T2.votes ELSE 0 END) - SUM(CASE WHEN T1.episode = 5 THEN T2.votes ELSE 0 END) AS diff FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id;
|
[
"How",
"much",
"more",
"votes",
"for",
"episode",
"1",
"than",
"for",
"episode",
"5",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "episode_id"
},
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 5,
"type": "column",
"value": "episode"
},
{
"id": 4,
"type": "column",
"value": "votes"
},
{
"id": 1,
"type": "table",
"value": "vote"
},
{
"id": 3,
"type": "value",
"value": "0"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "5"
}
] |
[
{
"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": [
9
]
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": [
10
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,963
|
customers_and_addresses
|
spider:train_spider.json:6067
|
What are the names of customers using the most popular payment method?
|
SELECT customer_name FROM customers WHERE payment_method = (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1)
|
[
"What",
"are",
"the",
"names",
"of",
"customers",
"using",
"the",
"most",
"popular",
"payment",
"method",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "payment_method"
},
{
"id": 1,
"type": "column",
"value": "customer_name"
},
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10,
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,964
|
college_3
|
spider:train_spider.json:4684
|
Give the names of the courses with at least five enrollments.
|
SELECT T1.CName FROM COURSE AS T1 JOIN ENROLLED_IN AS T2 ON T1.CID = T2.CID GROUP BY T2.CID HAVING COUNT(*) >= 5
|
[
"Give",
"the",
"names",
"of",
"the",
"courses",
"with",
"at",
"least",
"five",
"enrollments",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "enrolled_in"
},
{
"id": 2,
"type": "table",
"value": "course"
},
{
"id": 1,
"type": "column",
"value": "cname"
},
{
"id": 0,
"type": "column",
"value": "cid"
},
{
"id": 4,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,965
|
university
|
bird:train.json:7992
|
What is the ID of the university that has only 1% of international students between 2011 to 2015?
|
SELECT university_id FROM university_year WHERE pct_international_students = 1 AND year BETWEEN 2011 AND 2015
|
[
"What",
"is",
"the",
"ID",
"of",
"the",
"university",
"that",
"has",
"only",
"1",
"%",
"of",
"international",
"students",
"between",
"2011",
"to",
"2015",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "pct_international_students"
},
{
"id": 0,
"type": "table",
"value": "university_year"
},
{
"id": 1,
"type": "column",
"value": "university_id"
},
{
"id": 4,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "value",
"value": "2011"
},
{
"id": 6,
"type": "value",
"value": "2015"
},
{
"id": 3,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
13,
14
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
16
]
},
{
"entity_id": 6,
"token_idxs": [
18
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
14,966
|
cre_Students_Information_Systems
|
bird:test.json:496
|
Find the biographical information of the student with the smallest student loan.
|
SELECT T1.bio_data FROM Students AS T1 JOIN Student_Loans AS T2 ON T1.student_id = T2.student_id ORDER BY T2.amount_of_loan ASC LIMIT 1
|
[
"Find",
"the",
"biographical",
"information",
"of",
"the",
"student",
"with",
"the",
"smallest",
"student",
"loan",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "amount_of_loan"
},
{
"id": 2,
"type": "table",
"value": "student_loans"
},
{
"id": 4,
"type": "column",
"value": "student_id"
},
{
"id": 0,
"type": "column",
"value": "bio_data"
},
{
"id": 1,
"type": "table",
"value": "students"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O"
] |
14,967
|
dorm_1
|
spider:train_spider.json:5763
|
What are the first and last names of all students who are living in a dorm with a TV Lounge?
|
SELECT T1.fname , T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')
|
[
"What",
"are",
"the",
"first",
"and",
"last",
"names",
"of",
"all",
"students",
"who",
"are",
"living",
"in",
"a",
"dorm",
"with",
"a",
"TV",
"Lounge",
"?"
] |
[
{
"id": 7,
"type": "table",
"value": "dorm_amenity"
},
{
"id": 8,
"type": "column",
"value": "amenity_name"
},
{
"id": 6,
"type": "table",
"value": "has_amenity"
},
{
"id": 9,
"type": "value",
"value": "TV Lounge"
},
{
"id": 3,
"type": "table",
"value": "lives_in"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 4,
"type": "column",
"value": "dormid"
},
{
"id": 10,
"type": "column",
"value": "amenid"
},
{
"id": 0,
"type": "column",
"value": "fname"
},
{
"id": 1,
"type": "column",
"value": "lname"
},
{
"id": 5,
"type": "column",
"value": "stuid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": [
9
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
18,
19
]
},
{
"entity_id": 10,
"token_idxs": [
4
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
14,968
|
university
|
bird:train.json:8041
|
In Argentina, how many universities are there?
|
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Argentina'
|
[
"In",
"Argentina",
",",
"how",
"many",
"universities",
"are",
"there",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "country_name"
},
{
"id": 0,
"type": "table",
"value": "university"
},
{
"id": 4,
"type": "column",
"value": "country_id"
},
{
"id": 3,
"type": "value",
"value": "Argentina"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
1
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
14,969
|
soccer_2
|
spider:train_spider.json:5026
|
Find the names of schools that have some students playing in goalie and mid positions.
|
SELECT cName FROM tryout WHERE pPos = 'goalie' INTERSECT SELECT cName FROM tryout WHERE pPos = 'mid'
|
[
"Find",
"the",
"names",
"of",
"schools",
"that",
"have",
"some",
"students",
"playing",
"in",
"goalie",
"and",
"mid",
"positions",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "tryout"
},
{
"id": 3,
"type": "value",
"value": "goalie"
},
{
"id": 1,
"type": "column",
"value": "cname"
},
{
"id": 2,
"type": "column",
"value": "ppos"
},
{
"id": 4,
"type": "value",
"value": "mid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
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",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O"
] |
14,970
|
car_retails
|
bird:train.json:1622
|
For the product No. S18_3482 in the Order No.10108, how much discount did the customer have?
|
SELECT (t1.MSRP - t2.priceEach) / t1.MSRP FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode WHERE t1.productCode = 'S18_3482' AND t2.orderNumber = '10108'
|
[
"For",
"the",
"product",
"No",
".",
"S18_3482",
"in",
"the",
"Order",
"No.10108",
",",
"how",
"much",
"discount",
"did",
"the",
"customer",
"have",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "orderdetails"
},
{
"id": 3,
"type": "column",
"value": "productcode"
},
{
"id": 5,
"type": "column",
"value": "ordernumber"
},
{
"id": 7,
"type": "column",
"value": "priceeach"
},
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 4,
"type": "value",
"value": "S18_3482"
},
{
"id": 6,
"type": "value",
"value": "10108"
},
{
"id": 2,
"type": "column",
"value": "msrp"
}
] |
[
{
"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
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,971
|
protein_institute
|
spider:train_spider.json:1913
|
What are the average, maximum, and minimum number of floors for all buildings?
|
SELECT avg(floors) , max(floors) , min(floors) FROM building
|
[
"What",
"are",
"the",
"average",
",",
"maximum",
",",
"and",
"minimum",
"number",
"of",
"floors",
"for",
"all",
"buildings",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "building"
},
{
"id": 1,
"type": "column",
"value": "floors"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
14,972
|
works_cycles
|
bird:train.json:7184
|
What is the name of product purchased with transaction type P?
|
SELECT ProductID FROM Product WHERE ProductID IN ( SELECT ProductID FROM TransactionHistory WHERE TransactionType = 'P' )
|
[
"What",
"is",
"the",
"name",
"of",
"product",
"purchased",
"with",
"transaction",
"type",
"P",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "transactionhistory"
},
{
"id": 3,
"type": "column",
"value": "transactiontype"
},
{
"id": 1,
"type": "column",
"value": "productid"
},
{
"id": 0,
"type": "table",
"value": "product"
},
{
"id": 4,
"type": "value",
"value": "P"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8,
9
]
},
{
"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",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
14,973
|
menu
|
bird:train.json:5475
|
Please list the prices of the dish "Clear green turtle" on every menu page it appeared on.
|
SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Clear green turtle'
|
[
"Please",
"list",
"the",
"prices",
"of",
"the",
"dish",
"\"",
"Clear",
"green",
"turtle",
"\"",
"on",
"every",
"menu",
"page",
"it",
"appeared",
"on",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "Clear green turtle"
},
{
"id": 2,
"type": "table",
"value": "menuitem"
},
{
"id": 6,
"type": "column",
"value": "dish_id"
},
{
"id": 0,
"type": "column",
"value": "price"
},
{
"id": 1,
"type": "table",
"value": "dish"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
14
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
14,974
|
voter_2
|
spider:train_spider.json:5496
|
Find the distinct last names of all the students who have president votes and whose advisor is not 2192.
|
SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = PRESIDENT_Vote EXCEPT SELECT DISTINCT LName FROM STUDENT WHERE Advisor = "2192"
|
[
"Find",
"the",
"distinct",
"last",
"names",
"of",
"all",
"the",
"students",
"who",
"have",
"president",
"votes",
"and",
"whose",
"advisor",
"is",
"not",
"2192",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "president_vote"
},
{
"id": 2,
"type": "table",
"value": "voting_record"
},
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 3,
"type": "column",
"value": "advisor"
},
{
"id": 1,
"type": "column",
"value": "lname"
},
{
"id": 5,
"type": "column",
"value": "stuid"
},
{
"id": 4,
"type": "column",
"value": "2192"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": [
18
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
11,
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",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
14,975
|
bike_share_1
|
bird:train.json:8996
|
What was the hottest temperature on the day of trip ID 4080?
|
SELECT MAX(T2.max_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.id = 4080
|
[
"What",
"was",
"the",
"hottest",
"temperature",
"on",
"the",
"day",
"of",
"trip",
"ID",
"4080",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "max_temperature_f"
},
{
"id": 8,
"type": "column",
"value": "start_date"
},
{
"id": 5,
"type": "column",
"value": "zip_code"
},
{
"id": 1,
"type": "table",
"value": "weather"
},
{
"id": 0,
"type": "table",
"value": "trip"
},
{
"id": 3,
"type": "value",
"value": "4080"
},
{
"id": 6,
"type": "column",
"value": "date"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 7,
"type": "value",
"value": "1"
},
{
"id": 9,
"type": "value",
"value": " "
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
1,
2
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O"
] |
14,976
|
flight_1
|
spider:train_spider.json:410
|
What destination has the fewest number of flights?
|
SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1
|
[
"What",
"destination",
"has",
"the",
"fewest",
"number",
"of",
"flights",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "destination"
},
{
"id": 0,
"type": "table",
"value": "flight"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,977
|
chicago_crime
|
bird:train.json:8633
|
How many neighborhoods are there in Near North Side?
|
SELECT SUM(CASE WHEN T1.community_area_name = 'Near North Side' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no
|
[
"How",
"many",
"neighborhoods",
"are",
"there",
"in",
"Near",
"North",
"Side",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "community_area_name"
},
{
"id": 2,
"type": "column",
"value": "community_area_no"
},
{
"id": 6,
"type": "value",
"value": "Near North Side"
},
{
"id": 0,
"type": "table",
"value": "community_area"
},
{
"id": 1,
"type": "table",
"value": "neighborhood"
},
{
"id": 3,
"type": "value",
"value": "0"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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": [
6,
7,
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-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
14,978
|
cre_Students_Information_Systems
|
bird:test.json:473
|
List the date of the transcripts and the transcript details.
|
SELECT date_of_transcript , transcript_details FROM Transcripts
|
[
"List",
"the",
"date",
"of",
"the",
"transcripts",
"and",
"the",
"transcript",
"details",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "date_of_transcript"
},
{
"id": 2,
"type": "column",
"value": "transcript_details"
},
{
"id": 0,
"type": "table",
"value": "transcripts"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,979
|
aan_1
|
bird:test.json:963
|
How many authors do we have?
|
SELECT count(*) FROM Author
|
[
"How",
"many",
"authors",
"do",
"we",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "author"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,980
|
activity_1
|
spider:train_spider.json:6723
|
Show the first name, last name, and phone number for all female faculty members.
|
SELECT Fname , Lname , phone FROM Faculty WHERE Sex = 'F'
|
[
"Show",
"the",
"first",
"name",
",",
"last",
"name",
",",
"and",
"phone",
"number",
"for",
"all",
"female",
"faculty",
"members",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "faculty"
},
{
"id": 1,
"type": "column",
"value": "fname"
},
{
"id": 2,
"type": "column",
"value": "lname"
},
{
"id": 3,
"type": "column",
"value": "phone"
},
{
"id": 4,
"type": "column",
"value": "sex"
},
{
"id": 5,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
14
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
14,981
|
law_episode
|
bird:train.json:1304
|
What are the names of the two people who won an award for their role as directors?
|
SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Winner' AND T2.role = 'director'
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"two",
"people",
"who",
"won",
"an",
"award",
"for",
"their",
"role",
"as",
"directors",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "person_id"
},
{
"id": 7,
"type": "value",
"value": "director"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 4,
"type": "column",
"value": "result"
},
{
"id": 5,
"type": "value",
"value": "Winner"
},
{
"id": 2,
"type": "table",
"value": "award"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "role"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
14
]
},
{
"entity_id": 7,
"token_idxs": [
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,982
|
mondial_geo
|
bird:train.json:8428
|
What is the average population ratio of the countries in which organizations were established in 1947?
|
SELECT T1.Population / T1.Area FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE STRFTIME('%Y', T2.Established) = '1947'
|
[
"What",
"is",
"the",
"average",
"population",
"ratio",
"of",
"the",
"countries",
"in",
"which",
"organizations",
"were",
"established",
"in",
"1947",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "organization"
},
{
"id": 8,
"type": "column",
"value": "established"
},
{
"id": 3,
"type": "column",
"value": "population"
},
{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 6,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "value",
"value": "1947"
},
{
"id": 4,
"type": "column",
"value": "area"
},
{
"id": 5,
"type": "column",
"value": "code"
},
{
"id": 7,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
15
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
8
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
13
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
14,984
|
regional_sales
|
bird:train.json:2599
|
Describe the customer names and product names which had over 3800 USD in net profit.
|
SELECT DISTINCT `Customer Names`, `Product Name` FROM ( SELECT T1.`Customer Names`, T3.`Product Name` , REPLACE(T2.`Unit Price`, ',', '') - REPLACE(T2.`Unit Cost`, ',', '') AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T > 3800
|
[
"Describe",
"the",
"customer",
"names",
"and",
"product",
"names",
"which",
"had",
"over",
"3800",
"USD",
"in",
"net",
"profit",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "Customer Names"
},
{
"id": 1,
"type": "column",
"value": "Product Name"
},
{
"id": 6,
"type": "table",
"value": "Sales Orders"
},
{
"id": 12,
"type": "column",
"value": "_customerid"
},
{
"id": 8,
"type": "column",
"value": "_productid"
},
{
"id": 9,
"type": "column",
"value": "Unit Price"
},
{
"id": 13,
"type": "column",
"value": "customerid"
},
{
"id": 5,
"type": "table",
"value": "customers"
},
{
"id": 7,
"type": "column",
"value": "productid"
},
{
"id": 11,
"type": "column",
"value": "Unit Cost"
},
{
"id": 4,
"type": "table",
"value": "products"
},
{
"id": 3,
"type": "value",
"value": "3800"
},
{
"id": 2,
"type": "column",
"value": "t"
},
{
"id": 10,
"type": "value",
"value": ","
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"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": [
13,
14
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,985
|
wrestler
|
spider:train_spider.json:1846
|
List the names of wrestlers in descending order of days held.
|
SELECT Name FROM wrestler ORDER BY Days_held DESC
|
[
"List",
"the",
"names",
"of",
"wrestlers",
"in",
"descending",
"order",
"of",
"days",
"held",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "days_held"
},
{
"id": 0,
"type": "table",
"value": "wrestler"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
9,
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
14,986
|
app_store
|
bird:train.json:2573
|
Among the role playing game genre, how many are targeted to teens and what is their average sentiment polarity score?
|
SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Teen' AND T1.Genres = 'Role Playing'
|
[
"Among",
"the",
"role",
"playing",
"game",
"genre",
",",
"how",
"many",
"are",
"targeted",
"to",
"teens",
"and",
"what",
"is",
"their",
"average",
"sentiment",
"polarity",
"score",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "sentiment_polarity"
},
{
"id": 4,
"type": "column",
"value": "Content Rating"
},
{
"id": 1,
"type": "table",
"value": "user_reviews"
},
{
"id": 7,
"type": "value",
"value": "Role Playing"
},
{
"id": 0,
"type": "table",
"value": "playstore"
},
{
"id": 6,
"type": "column",
"value": "genres"
},
{
"id": 5,
"type": "value",
"value": "Teen"
},
{
"id": 2,
"type": "column",
"value": "app"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
19,
20
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
18
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": [
2,
3
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"O"
] |
14,987
|
donor
|
bird:train.json:3186
|
List the title of all projects located in Chicago along with the ID of the donor.
|
SELECT T1.title, T3.donor_acctid FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T2.school_city LIKE 'Chicago'
|
[
"List",
"the",
"title",
"of",
"all",
"projects",
"located",
"in",
"Chicago",
"along",
"with",
"the",
"ID",
"of",
"the",
"donor",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "donor_acctid"
},
{
"id": 3,
"type": "column",
"value": "school_city"
},
{
"id": 2,
"type": "table",
"value": "donations"
},
{
"id": 7,
"type": "column",
"value": "projectid"
},
{
"id": 6,
"type": "table",
"value": "projects"
},
{
"id": 4,
"type": "value",
"value": "Chicago"
},
{
"id": 5,
"type": "table",
"value": "essays"
},
{
"id": 0,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
15
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,988
|
legislator
|
bird:train.json:4831
|
Who is the Pro-Administration senator that runs from March 4, 1789 to December 31, 1791?
|
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND T2.start = '1789-03-04' AND T2.end = '1791-12-31'
|
[
"Who",
"is",
"the",
"Pro",
"-",
"Administration",
"senator",
"that",
"runs",
"from",
"March",
"4",
",",
"1789",
"to",
"December",
"31",
",",
"1791",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Pro-Administration"
},
{
"id": 3,
"type": "table",
"value": "historical-terms"
},
{
"id": 4,
"type": "column",
"value": "bioguide_id"
},
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "table",
"value": "historical"
},
{
"id": 9,
"type": "value",
"value": "1789-03-04"
},
{
"id": 11,
"type": "value",
"value": "1791-12-31"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 5,
"type": "column",
"value": "bioguide"
},
{
"id": 6,
"type": "column",
"value": "party"
},
{
"id": 8,
"type": "column",
"value": "start"
},
{
"id": 10,
"type": "column",
"value": "end"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 8,
"token_idxs": [
7
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.