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16.1k
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13,055
|
driving_school
|
spider:train_spider.json:6626
|
Show the detail of vehicle with id 1.
|
SELECT vehicle_details FROM Vehicles WHERE vehicle_id = 1;
|
[
"Show",
"the",
"detail",
"of",
"vehicle",
"with",
"i",
"d",
"1",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "vehicle_details"
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{
"id": 2,
"type": "column",
"value": "vehicle_id"
},
{
"id": 0,
"type": "table",
"value": "vehicles"
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{
"id": 3,
"type": "value",
"value": "1"
}
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
13,056
|
university_basketball
|
spider:train_spider.json:988
|
Return the highest acc percent across all basketball matches.
|
SELECT acc_percent FROM basketball_match ORDER BY acc_percent DESC LIMIT 1
|
[
"Return",
"the",
"highest",
"acc",
"percent",
"across",
"all",
"basketball",
"matches",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "basketball_match"
},
{
"id": 1,
"type": "column",
"value": "acc_percent"
}
] |
[
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
13,057
|
customers_and_orders
|
bird:test.json:233
|
How many addresses do we have?
|
SELECT count(*) FROM Addresses
|
[
"How",
"many",
"addresses",
"do",
"we",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "addresses"
}
] |
[
{
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2
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{
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{
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},
{
"entity_id": 9,
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{
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{
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{
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{
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"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
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{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
13,058
|
simpson_episodes
|
bird:train.json:4214
|
In "Sex, Pies and Idiot Scrapes", how many percentage of votes did the 9 star score has?
|
SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes' AND T2.stars = 9;
|
[
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"\"",
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"Pies",
"and",
"Idiot",
"Scrapes",
"\"",
",",
"how",
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"percentage",
"of",
"votes",
"did",
"the",
"9",
"star",
"score",
"has",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "Sex, Pies and Idiot Scrapes"
},
{
"id": 3,
"type": "column",
"value": "episode_id"
},
{
"id": 0,
"type": "column",
"value": "percent"
},
{
"id": 1,
"type": "table",
"value": "episode"
},
{
"id": 4,
"type": "column",
"value": "title"
},
{
"id": 6,
"type": "column",
"value": "stars"
},
{
"id": 2,
"type": "table",
"value": "vote"
},
{
"id": 7,
"type": "value",
"value": "9"
}
] |
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"token_idxs": []
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{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O"
] |
13,059
|
climbing
|
spider:train_spider.json:1134
|
Show the distinct names of mountains climbed by climbers from country "West Germany".
|
SELECT DISTINCT T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T1.Country = "West Germany"
|
[
"Show",
"the",
"distinct",
"names",
"of",
"mountains",
"climbed",
"by",
"climbers",
"from",
"country",
"\"",
"West",
"Germany",
"\"",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "West Germany"
},
{
"id": 5,
"type": "column",
"value": "mountain_id"
},
{
"id": 2,
"type": "table",
"value": "mountain"
},
{
"id": 1,
"type": "table",
"value": "climber"
},
{
"id": 3,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "column",
"value": "name"
}
] |
[
{
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3
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"entity_id": 15,
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{
"entity_id": 16,
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
13,060
|
cre_Doc_Tracking_DB
|
spider:train_spider.json:4231
|
What are the codes of the locations with at least three documents?
|
SELECT location_code FROM Document_locations GROUP BY location_code HAVING count(*) >= 3
|
[
"What",
"are",
"the",
"codes",
"of",
"the",
"locations",
"with",
"at",
"least",
"three",
"documents",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "document_locations"
},
{
"id": 1,
"type": "column",
"value": "location_code"
},
{
"id": 2,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
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{
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{
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{
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{
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},
{
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{
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{
"entity_id": 13,
"token_idxs": []
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{
"entity_id": 14,
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{
"entity_id": 15,
"token_idxs": []
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{
"entity_id": 16,
"token_idxs": []
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{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,061
|
synthea
|
bird:train.json:1401
|
List the ids of all the patients with condition that has a prevalence percentage of 18.8%.
|
SELECT DISTINCT T1.PATIENT FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T2.ITEM) = lower(T1.DESCRIPTION) WHERE T2."PREVALENCE PERCENTAGE" = CAST(18.8 AS float)
|
[
"List",
"the",
"ids",
"of",
"all",
"the",
"patients",
"with",
"condition",
"that",
"has",
"a",
"prevalence",
"percentage",
"of",
"18.8",
"%",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "PREVALENCE PERCENTAGE"
},
{
"id": 2,
"type": "table",
"value": "all_prevalences"
},
{
"id": 6,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "conditions"
},
{
"id": 0,
"type": "column",
"value": "patient"
},
{
"id": 4,
"type": "value",
"value": "18.8"
},
{
"id": 5,
"type": "column",
"value": "item"
}
] |
[
{
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6
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8
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11,
12
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{
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13
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},
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},
{
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{
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{
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{
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},
{
"entity_id": 9,
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},
{
"entity_id": 10,
"token_idxs": []
},
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
13,062
|
wrestler
|
spider:train_spider.json:1866
|
Show teams that have suffered more than three eliminations.
|
SELECT Team FROM elimination GROUP BY Team HAVING COUNT(*) > 3
|
[
"Show",
"teams",
"that",
"have",
"suffered",
"more",
"than",
"three",
"eliminations",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "elimination"
},
{
"id": 1,
"type": "column",
"value": "team"
},
{
"id": 2,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
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8
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{
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1
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},
{
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{
"entity_id": 4,
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},
{
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{
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"token_idxs": []
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{
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{
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{
"entity_id": 13,
"token_idxs": []
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{
"entity_id": 14,
"token_idxs": []
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{
"entity_id": 15,
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{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,063
|
donor
|
bird:train.json:3253
|
What payment method was used for Needed Resource Materials For My Students?
|
SELECT T3.payment_method 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 T1.title = 'Needed Resource Materials For My Students'
|
[
"What",
"payment",
"method",
"was",
"used",
"for",
"Needed",
"Resource",
"Materials",
"For",
"My",
"Students",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Needed Resource Materials For My Students"
},
{
"id": 0,
"type": "column",
"value": "payment_method"
},
{
"id": 1,
"type": "table",
"value": "donations"
},
{
"id": 6,
"type": "column",
"value": "projectid"
},
{
"id": 5,
"type": "table",
"value": "projects"
},
{
"id": 4,
"type": "table",
"value": "essays"
},
{
"id": 2,
"type": "column",
"value": "title"
}
] |
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{
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1,
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},
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{
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{
"entity_id": 3,
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6,
7,
8,
9,
10,
11
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{
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{
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{
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{
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{
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{
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{
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},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
13,064
|
address_1
|
bird:test.json:778
|
How many cities are in each state?
|
SELECT state , count(*) FROM City GROUP BY state
|
[
"How",
"many",
"cities",
"are",
"in",
"each",
"state",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "state"
},
{
"id": 0,
"type": "table",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,065
|
world_development_indicators
|
bird:train.json:2158
|
List out the table name and currency unit of countries using series code as FP.CPI.TOTL
|
SELECT T1.TableName, T1.CurrencyUnit FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'FP.CPI.TOTL'
|
[
"List",
"out",
"the",
"table",
"name",
"and",
"currency",
"unit",
"of",
"countries",
"using",
"series",
"code",
"as",
"FP.CPI.TOTL"
] |
[
{
"id": 1,
"type": "column",
"value": "currencyunit"
},
{
"id": 3,
"type": "table",
"value": "countrynotes"
},
{
"id": 5,
"type": "value",
"value": "FP.CPI.TOTL"
},
{
"id": 6,
"type": "column",
"value": "countrycode"
},
{
"id": 4,
"type": "column",
"value": "seriescode"
},
{
"id": 0,
"type": "column",
"value": "tablename"
},
{
"id": 2,
"type": "table",
"value": "country"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
6,
7
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
11,
12
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE"
] |
13,066
|
software_company
|
bird:train.json:8578
|
What is the geographic ID and total income per year when the average income is above 3300 dollar.
|
SELECT GEOID, INHABITANTS_K * INCOME_K * 12 FROM Demog WHERE INCOME_K > 3300
|
[
"What",
"is",
"the",
"geographic",
"ID",
"and",
"total",
"income",
"per",
"year",
"when",
"the",
"average",
"income",
"is",
"above",
"3300",
"dollar",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "inhabitants_k"
},
{
"id": 2,
"type": "column",
"value": "income_k"
},
{
"id": 0,
"type": "table",
"value": "demog"
},
{
"id": 1,
"type": "column",
"value": "geoid"
},
{
"id": 3,
"type": "value",
"value": "3300"
},
{
"id": 4,
"type": "value",
"value": "12"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
13,067
|
customers_and_addresses
|
spider:train_spider.json:6096
|
Which contact channel codes were used less than 5 times?
|
SELECT channel_code FROM customer_contact_channels GROUP BY channel_code HAVING count(customer_id) < 5
|
[
"Which",
"contact",
"channel",
"codes",
"were",
"used",
"less",
"than",
"5",
"times",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "customer_contact_channels"
},
{
"id": 1,
"type": "column",
"value": "channel_code"
},
{
"id": 3,
"type": "column",
"value": "customer_id"
},
{
"id": 2,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
13,068
|
driving_school
|
spider:train_spider.json:6630
|
What is the birthday of the staff member with first name as Janessa and last name as Sawayn?
|
SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn";
|
[
"What",
"is",
"the",
"birthday",
"of",
"the",
"staff",
"member",
"with",
"first",
"name",
"as",
"Janessa",
"and",
"last",
"name",
"as",
"Sawayn",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "date_of_birth"
},
{
"id": 2,
"type": "column",
"value": "first_name"
},
{
"id": 4,
"type": "column",
"value": "last_name"
},
{
"id": 3,
"type": "column",
"value": "Janessa"
},
{
"id": 5,
"type": "column",
"value": "Sawayn"
},
{
"id": 0,
"type": "table",
"value": "staff"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9,
10
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
14,
15
]
},
{
"entity_id": 5,
"token_idxs": [
17
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O"
] |
13,069
|
works_cycles
|
bird:train.json:7011
|
Provide details of review from reviewer whose name begin with letter 'J'. State the product ID, rating and comments.
|
SELECT ProductID, Rating, Comments FROM ProductReview WHERE ReviewerName LIKE 'J%'
|
[
"Provide",
"details",
"of",
"review",
"from",
"reviewer",
"whose",
"name",
"begin",
"with",
"letter",
"'",
"J",
"'",
".",
"State",
"the",
"product",
"ID",
",",
"rating",
"and",
"comments",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "productreview"
},
{
"id": 4,
"type": "column",
"value": "reviewername"
},
{
"id": 1,
"type": "column",
"value": "productid"
},
{
"id": 3,
"type": "column",
"value": "comments"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 5,
"type": "value",
"value": "J%"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
17,
18
]
},
{
"entity_id": 2,
"token_idxs": [
20
]
},
{
"entity_id": 3,
"token_idxs": [
22
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
13,070
|
e_government
|
spider:train_spider.json:6311
|
What are the different types of forms?
|
SELECT DISTINCT form_type_code FROM forms
|
[
"What",
"are",
"the",
"different",
"types",
"of",
"forms",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "form_type_code"
},
{
"id": 0,
"type": "table",
"value": "forms"
}
] |
[
{
"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"
] |
13,071
|
superhero
|
bird:dev.json:769
|
Which superhero has the most durability published by Dark Horse Comics?
|
SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN hero_attribute AS T2 ON T1.id = T2.hero_id INNER JOIN attribute AS T3 ON T3.id = T2.attribute_id INNER JOIN publisher AS T4 ON T4.id = T1.publisher_id WHERE T4.publisher_name = 'Dark Horse Comics' AND T3.attribute_name = 'Durability' ORDER BY T2.attribute_value DESC LIMIT 1
|
[
"Which",
"superhero",
"has",
"the",
"most",
"durability",
"published",
"by",
"Dark",
"Horse",
"Comics",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Dark Horse Comics"
},
{
"id": 2,
"type": "column",
"value": "attribute_value"
},
{
"id": 0,
"type": "column",
"value": "superhero_name"
},
{
"id": 6,
"type": "column",
"value": "publisher_name"
},
{
"id": 8,
"type": "column",
"value": "attribute_name"
},
{
"id": 11,
"type": "table",
"value": "hero_attribute"
},
{
"id": 5,
"type": "column",
"value": "publisher_id"
},
{
"id": 12,
"type": "column",
"value": "attribute_id"
},
{
"id": 9,
"type": "value",
"value": "Durability"
},
{
"id": 1,
"type": "table",
"value": "publisher"
},
{
"id": 3,
"type": "table",
"value": "attribute"
},
{
"id": 10,
"type": "table",
"value": "superhero"
},
{
"id": 13,
"type": "column",
"value": "hero_id"
},
{
"id": 4,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
5
]
},
{
"entity_id": 10,
"token_idxs": [
1
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
13,072
|
public_review_platform
|
bird:train.json:3841
|
How many Yelp_Businesses in Scottsdale have received positive comments in the Elitestar rating?
|
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3
|
[
"How",
"many",
"Yelp_Businesses",
"in",
"Scottsdale",
"have",
"received",
"positive",
"comments",
"in",
"the",
"Elitestar",
"rating",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "business_id"
},
{
"id": 3,
"type": "value",
"value": "Scottsdale"
},
{
"id": 0,
"type": "table",
"value": "business"
},
{
"id": 4,
"type": "column",
"value": "stars"
},
{
"id": 2,
"type": "column",
"value": "city"
},
{
"id": 5,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,073
|
chinook_1
|
spider:train_spider.json:887
|
How many artists do not have any album?
|
SELECT count(*) FROM ARTIST WHERE artistid NOT IN(SELECT artistid FROM ALBUM)
|
[
"How",
"many",
"artists",
"do",
"not",
"have",
"any",
"album",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "artistid"
},
{
"id": 0,
"type": "table",
"value": "artist"
},
{
"id": 2,
"type": "table",
"value": "album"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,074
|
world_development_indicators
|
bird:train.json:2100
|
On which years did Aruba got a footnote on the series code AG.LND.FRST.K2?
|
SELECT T2.Year FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'AG.LND.FRST.K2'
|
[
"On",
"which",
"years",
"did",
"Aruba",
"got",
"a",
"footnote",
"on",
"the",
"series",
"code",
"AG.LND.FRST.K2",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "AG.LND.FRST.K2"
},
{
"id": 3,
"type": "column",
"value": "countrycode"
},
{
"id": 6,
"type": "column",
"value": "seriescode"
},
{
"id": 2,
"type": "table",
"value": "footnotes"
},
{
"id": 4,
"type": "column",
"value": "shortname"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 5,
"type": "value",
"value": "Aruba"
},
{
"id": 0,
"type": "column",
"value": "year"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
"entity_id": 6,
"token_idxs": [
10,
11
]
},
{
"entity_id": 7,
"token_idxs": [
12
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
13,075
|
restaurant
|
bird:train.json:1673
|
List all the cities in Sonoma County.
|
SELECT city FROM geographic WHERE county = 'sonoma county'
|
[
"List",
"all",
"the",
"cities",
"in",
"Sonoma",
"County",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "sonoma county"
},
{
"id": 0,
"type": "table",
"value": "geographic"
},
{
"id": 2,
"type": "column",
"value": "county"
},
{
"id": 1,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
13,077
|
simpson_episodes
|
bird:train.json:4213
|
What was the first award won by the cast or crew member of the show? Give the name of the person who won the said award.
|
SELECT T2.award, T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner' ORDER BY T2.year LIMIT 1;
|
[
"What",
"was",
"the",
"first",
"award",
"won",
"by",
"the",
"cast",
"or",
"crew",
"member",
"of",
"the",
"show",
"?",
"Give",
"the",
"name",
"of",
"the",
"person",
"who",
"won",
"the",
"said",
"award",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "person"
},
{
"id": 4,
"type": "column",
"value": "result"
},
{
"id": 5,
"type": "value",
"value": "Winner"
},
{
"id": 7,
"type": "column",
"value": "person"
},
{
"id": 0,
"type": "column",
"value": "award"
},
{
"id": 3,
"type": "table",
"value": "award"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "year"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
18
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
21
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,078
|
image_and_language
|
bird:train.json:7480
|
How many images have at least one object sample in the class of "man"?
|
SELECT COUNT(T.IMG_ID) FROM ( SELECT T2.IMG_ID FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.OBJ_CLASS = 'man' GROUP BY T2.IMG_ID ) T
|
[
"How",
"many",
"images",
"have",
"at",
"least",
"one",
"object",
"sample",
"in",
"the",
"class",
"of",
"\"",
"man",
"\"",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "obj_class_id"
},
{
"id": 1,
"type": "table",
"value": "obj_classes"
},
{
"id": 3,
"type": "column",
"value": "obj_class"
},
{
"id": 2,
"type": "table",
"value": "img_obj"
},
{
"id": 0,
"type": "column",
"value": "img_id"
},
{
"id": 4,
"type": "value",
"value": "man"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
13,079
|
music_1
|
spider:train_spider.json:3600
|
What is the maximum and minimum resolution of all songs that are approximately 3 minutes long?
|
SELECT max(T2.resolution) , min(T2.resolution) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.duration LIKE "3:%"
|
[
"What",
"is",
"the",
"maximum",
"and",
"minimum",
"resolution",
"of",
"all",
"songs",
"that",
"are",
"approximately",
"3",
"minutes",
"long",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "resolution"
},
{
"id": 2,
"type": "column",
"value": "duration"
},
{
"id": 0,
"type": "table",
"value": "files"
},
{
"id": 1,
"type": "table",
"value": "song"
},
{
"id": 5,
"type": "column",
"value": "f_id"
},
{
"id": 3,
"type": "column",
"value": "3:%"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,080
|
music_4
|
spider:train_spider.json:6175
|
What are the famous title of the artists associated with volumes with more than 2 weeks on top?
|
SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2
|
[
"What",
"are",
"the",
"famous",
"title",
"of",
"the",
"artists",
"associated",
"with",
"volumes",
"with",
"more",
"than",
"2",
"weeks",
"on",
"top",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "famous_title"
},
{
"id": 3,
"type": "column",
"value": "weeks_on_top"
},
{
"id": 5,
"type": "column",
"value": "artist_id"
},
{
"id": 1,
"type": "table",
"value": "artist"
},
{
"id": 2,
"type": "table",
"value": "volume"
},
{
"id": 4,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
15,
16,
17
]
},
{
"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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
13,081
|
store_1
|
spider:train_spider.json:553
|
List every album ordered by album title in ascending order.
|
SELECT title FROM albums ORDER BY title;
|
[
"List",
"every",
"album",
"ordered",
"by",
"album",
"title",
"in",
"ascending",
"order",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "albums"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
13,082
|
software_company
|
bird:train.json:8547
|
In female customers ages from 50 to 60, how many of them has an number of inhabitants ranges from 19 to 24?
|
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.age >= 50 AND T1.age <= 60 AND T2.INHABITANTS_K >= 19 AND T2.INHABITANTS_K <= 24
|
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"how",
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"ranges",
"from",
"19",
"to",
"24",
"?"
] |
[
{
"id": 9,
"type": "column",
"value": "inhabitants_k"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 5,
"type": "value",
"value": "Female"
},
{
"id": 1,
"type": "table",
"value": "demog"
},
{
"id": 3,
"type": "column",
"value": "geoid"
},
{
"id": 4,
"type": "column",
"value": "sex"
},
{
"id": 6,
"type": "column",
"value": "age"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 7,
"type": "value",
"value": "50"
},
{
"id": 8,
"type": "value",
"value": "60"
},
{
"id": 10,
"type": "value",
"value": "19"
},
{
"id": 11,
"type": "value",
"value": "24"
}
] |
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{
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}
] |
[
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"O",
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"O",
"B-VALUE",
"O",
"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
13,083
|
insurance_policies
|
spider:train_spider.json:3861
|
Give me the claim date, settlement date for all the claims whose claimed amount is larger than the average.
|
SELECT Date_Claim_Made , Date_Claim_Settled FROM Claims WHERE Amount_Claimed > ( SELECT avg(Amount_Claimed) FROM Claims )
|
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"claims",
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"is",
"larger",
"than",
"the",
"average",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "date_claim_settled"
},
{
"id": 1,
"type": "column",
"value": "date_claim_made"
},
{
"id": 3,
"type": "column",
"value": "amount_claimed"
},
{
"id": 0,
"type": "table",
"value": "claims"
}
] |
[
{
"entity_id": 0,
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]
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{
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2,
3,
4
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},
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5,
6
]
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{
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]
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},
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},
{
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"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,084
|
cre_Theme_park
|
spider:train_spider.json:5961
|
What are the names of tourist attractions that can be reached by bus or is at address 254 Ottilie Junction?
|
SELECT T2.Name FROM Locations AS T1 JOIN Tourist_Attractions AS T2 ON T1.Location_ID = T2.Location_ID WHERE T1.Address = "254 Ottilie Junction" OR T2.How_to_Get_There = "bus"
|
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"or",
"is",
"at",
"address",
"254",
"Ottilie",
"Junction",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "254 Ottilie Junction"
},
{
"id": 2,
"type": "table",
"value": "tourist_attractions"
},
{
"id": 6,
"type": "column",
"value": "how_to_get_there"
},
{
"id": 3,
"type": "column",
"value": "location_id"
},
{
"id": 1,
"type": "table",
"value": "locations"
},
{
"id": 4,
"type": "column",
"value": "address"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "bus"
}
] |
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{
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3
]
},
{
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6
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5
]
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{
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]
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{
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17,
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19
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},
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}
] |
[
"O",
"O",
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"B-COLUMN",
"O",
"B-TABLE",
"B-TABLE",
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"O",
"O",
"O",
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"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
13,085
|
shop_membership
|
spider:train_spider.json:5401
|
What is the number of branches that have more than the average number of memberships?
|
SELECT count(*) FROM branch WHERE membership_amount > (SELECT avg(membership_amount) FROM branch)
|
[
"What",
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"the",
"number",
"of",
"branches",
"that",
"have",
"more",
"than",
"the",
"average",
"number",
"of",
"memberships",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "membership_amount"
},
{
"id": 0,
"type": "table",
"value": "branch"
}
] |
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{
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},
{
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},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,086
|
baseball_1
|
spider:train_spider.json:3647
|
Which 3 players won the most player awards? List their full name and id.
|
SELECT T1.name_first , T1.name_last , T1.player_id FROM player AS T1 JOIN player_award AS T2 ON T1.player_id = T2.player_id GROUP BY T1.player_id ORDER BY count(*) DESC LIMIT 3;
|
[
"Which",
"3",
"players",
"won",
"the",
"most",
"player",
"awards",
"?",
"List",
"their",
"full",
"name",
"and",
"i",
"d."
] |
[
{
"id": 4,
"type": "table",
"value": "player_award"
},
{
"id": 1,
"type": "column",
"value": "name_first"
},
{
"id": 0,
"type": "column",
"value": "player_id"
},
{
"id": 2,
"type": "column",
"value": "name_last"
},
{
"id": 3,
"type": "table",
"value": "player"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
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},
{
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{
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6
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},
{
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7
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},
{
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},
{
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{
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{
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{
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},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
13,087
|
movie_3
|
bird:train.json:9388
|
List all the films that are rated as PG-13.
|
SELECT title FROM film WHERE rating = 'PG-13'
|
[
"List",
"all",
"the",
"films",
"that",
"are",
"rated",
"as",
"PG-13",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "value",
"value": "PG-13"
},
{
"id": 0,
"type": "table",
"value": "film"
}
] |
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{
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"token_idxs": [
3
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},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
13,088
|
codebase_community
|
bird:dev.json:642
|
How many posts were created on 21st July, 2010?
|
SELECT COUNT(id) FROM postHistory WHERE date(CreationDate) = '2010-07-21'
|
[
"How",
"many",
"posts",
"were",
"created",
"on",
"21st",
"July",
",",
"2010",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "creationdate"
},
{
"id": 0,
"type": "table",
"value": "posthistory"
},
{
"id": 1,
"type": "value",
"value": "2010-07-21"
},
{
"id": 2,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
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},
{
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{
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{
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{
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},
{
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
13,089
|
student_club
|
bird:dev.json:1432
|
Among the members with t-shirt size of medium, what is the percentage of the amount 50 received by the Student_Club?
|
SELECT CAST(SUM(CASE WHEN T2.amount = 50 THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(T2.income_id) FROM member AS T1 INNER JOIN income AS T2 ON T1.member_id = T2.link_to_member WHERE T1.position = 'Member' AND T1.t_shirt_size = 'Medium'
|
[
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"-",
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"the",
"amount",
"50",
"received",
"by",
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"?"
] |
[
{
"id": 3,
"type": "column",
"value": "link_to_member"
},
{
"id": 6,
"type": "column",
"value": "t_shirt_size"
},
{
"id": 2,
"type": "column",
"value": "member_id"
},
{
"id": 9,
"type": "column",
"value": "income_id"
},
{
"id": 4,
"type": "column",
"value": "position"
},
{
"id": 0,
"type": "table",
"value": "member"
},
{
"id": 1,
"type": "table",
"value": "income"
},
{
"id": 5,
"type": "value",
"value": "Member"
},
{
"id": 7,
"type": "value",
"value": "Medium"
},
{
"id": 12,
"type": "column",
"value": "amount"
},
{
"id": 8,
"type": "value",
"value": "100"
},
{
"id": 11,
"type": "value",
"value": "1.0"
},
{
"id": 13,
"type": "value",
"value": "50"
},
{
"id": 10,
"type": "value",
"value": "0"
}
] |
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},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
13,090
|
soccer_2016
|
bird:train.json:2005
|
How many victory matches were there in 2008?
|
SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL
|
[
"How",
"many",
"victory",
"matches",
"were",
"there",
"in",
"2008",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "match_winner"
},
{
"id": 2,
"type": "column",
"value": "match_date"
},
{
"id": 1,
"type": "column",
"value": "match_id"
},
{
"id": 0,
"type": "table",
"value": "match"
},
{
"id": 3,
"type": "value",
"value": "2008%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
13,091
|
store_product
|
spider:train_spider.json:4925
|
What is the city with the most number of flagship stores?
|
SELECT t3.headquartered_city FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"city",
"with",
"the",
"most",
"number",
"of",
"flagship",
"stores",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "headquartered_city"
},
{
"id": 3,
"type": "table",
"value": "store_district"
},
{
"id": 4,
"type": "column",
"value": "district_id"
},
{
"id": 1,
"type": "table",
"value": "district"
},
{
"id": 5,
"type": "column",
"value": "store_id"
},
{
"id": 2,
"type": "table",
"value": "store"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,092
|
club_1
|
spider:train_spider.json:4271
|
Give me the first name and last name for all the female members of the club "Bootup Baltimore".
|
SELECT t3.fname , t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.sex = "F"
|
[
"Give",
"me",
"the",
"first",
"name",
"and",
"last",
"name",
"for",
"all",
"the",
"female",
"members",
"of",
"the",
"club",
"\"",
"Bootup",
"Baltimore",
"\"",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "Bootup Baltimore"
},
{
"id": 4,
"type": "table",
"value": "member_of_club"
},
{
"id": 6,
"type": "column",
"value": "clubname"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 10,
"type": "column",
"value": "clubid"
},
{
"id": 0,
"type": "column",
"value": "fname"
},
{
"id": 1,
"type": "column",
"value": "lname"
},
{
"id": 5,
"type": "column",
"value": "stuid"
},
{
"id": 3,
"type": "table",
"value": "club"
},
{
"id": 8,
"type": "column",
"value": "sex"
},
{
"id": 9,
"type": "column",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": [
12,
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
17,
18
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
13
]
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-TABLE",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
13,093
|
movie_1
|
spider:train_spider.json:2449
|
How many movie ratings have more than 3 stars?
|
SELECT count(*) FROM Rating WHERE stars > 3
|
[
"How",
"many",
"movie",
"ratings",
"have",
"more",
"than",
"3",
"stars",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "rating"
},
{
"id": 1,
"type": "column",
"value": "stars"
},
{
"id": 2,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
13,094
|
movielens
|
bird:train.json:2257
|
What is the average rating of the newest movies from France?
|
SELECT AVG(T1.rating) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'france' AND T2.year = 4
|
[
"What",
"is",
"the",
"average",
"rating",
"of",
"the",
"newest",
"movies",
"from",
"France",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "movieid"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 0,
"type": "table",
"value": "u2base"
},
{
"id": 1,
"type": "table",
"value": "movies"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 5,
"type": "value",
"value": "france"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 7,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
10
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
13,095
|
ship_1
|
spider:train_spider.json:6250
|
Which flag is most widely used among all ships?
|
SELECT flag FROM ship GROUP BY flag ORDER BY count(*) DESC LIMIT 1
|
[
"Which",
"flag",
"is",
"most",
"widely",
"used",
"among",
"all",
"ships",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "ship"
},
{
"id": 1,
"type": "column",
"value": "flag"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"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",
"O",
"B-TABLE",
"O"
] |
13,096
|
menu
|
bird:train.json:5574
|
Among the menu pages on which the dish "Paysanne Soup" had appeared, how many of them had a stable price for the dish?
|
SELECT SUM(CASE WHEN T1.name = 'Paysanne Soup' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.highest_price IS NULL
|
[
"Among",
"the",
"menu",
"pages",
"on",
"which",
"the",
"dish",
"\"",
"Paysanne",
"Soup",
"\"",
"had",
"appeared",
",",
"how",
"many",
"of",
"them",
"had",
"a",
"stable",
"price",
"for",
"the",
"dish",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "highest_price"
},
{
"id": 8,
"type": "value",
"value": "Paysanne Soup"
},
{
"id": 1,
"type": "table",
"value": "menuitem"
},
{
"id": 4,
"type": "column",
"value": "dish_id"
},
{
"id": 0,
"type": "table",
"value": "dish"
},
{
"id": 7,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "column",
"value": "id"
},
{
"id": 5,
"type": "value",
"value": "0"
},
{
"id": 6,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
25
]
},
{
"entity_id": 1,
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2
]
},
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{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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{
"entity_id": 5,
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{
"entity_id": 6,
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},
{
"entity_id": 7,
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{
"entity_id": 8,
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9,
10
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{
"entity_id": 9,
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"entity_id": 10,
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{
"entity_id": 13,
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"entity_id": 14,
"token_idxs": []
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{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,097
|
bike_share_1
|
bird:train.json:9083
|
Is there any intercity trip were made during 2014? If yes, list out the city name for the start and end station.
|
SELECT T1.start_station_name, T1.end_station_name FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.start_date LIKE '%/%/2014%' AND T1.start_station_name != T1.end_station_name
|
[
"Is",
"there",
"any",
"intercity",
"trip",
"were",
"made",
"during",
"2014",
"?",
"If",
"yes",
",",
"list",
"out",
"the",
"city",
"name",
"for",
"the",
"start",
"and",
"end",
"station",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "start_station_name"
},
{
"id": 1,
"type": "column",
"value": "end_station_name"
},
{
"id": 5,
"type": "column",
"value": "start_date"
},
{
"id": 6,
"type": "value",
"value": "%/%/2014%"
},
{
"id": 3,
"type": "table",
"value": "station"
},
{
"id": 2,
"type": "table",
"value": "trip"
},
{
"id": 4,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
21
]
},
{
"entity_id": 1,
"token_idxs": [
22
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
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23
]
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20
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},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
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"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
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{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"B-COLUMN",
"B-TABLE",
"O"
] |
13,098
|
beer_factory
|
bird:train.json:5355
|
How many purchases were made at Sac State American River Courtyard using Master Card?
|
SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'MasterCard'
|
[
"How",
"many",
"purchases",
"were",
"made",
"at",
"Sac",
"State",
"American",
"River",
"Courtyard",
"using",
"Master",
"Card",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "Sac State American River Courtyard"
},
{
"id": 6,
"type": "column",
"value": "creditcardtype"
},
{
"id": 2,
"type": "column",
"value": "transactionid"
},
{
"id": 4,
"type": "column",
"value": "locationname"
},
{
"id": 0,
"type": "table",
"value": "transaction"
},
{
"id": 3,
"type": "column",
"value": "locationid"
},
{
"id": 7,
"type": "value",
"value": "MasterCard"
},
{
"id": 1,
"type": "table",
"value": "location"
}
] |
[
{
"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": [
6,
7,
8,
9,
10
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
12,
13
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
13,099
|
books
|
bird:train.json:6093
|
Provide the publisher name of the book with ISBN 76092025986.
|
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.isbn13 = 76092025986
|
[
"Provide",
"the",
"publisher",
"name",
"of",
"the",
"book",
"with",
"ISBN",
"76092025986",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "publisher_name"
},
{
"id": 5,
"type": "column",
"value": "publisher_id"
},
{
"id": 4,
"type": "value",
"value": "76092025986"
},
{
"id": 2,
"type": "table",
"value": "publisher"
},
{
"id": 3,
"type": "column",
"value": "isbn13"
},
{
"id": 1,
"type": "table",
"value": "book"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
13,100
|
music_platform_2
|
bird:train.json:7935
|
Which category does the podcast titled 'SciFi Tech Talk' belong to?
|
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'SciFi Tech Talk'
|
[
"Which",
"category",
"does",
"the",
"podcast",
"titled",
"'",
"SciFi",
"Tech",
"Talk",
"'",
"belong",
"to",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "SciFi Tech Talk"
},
{
"id": 1,
"type": "table",
"value": "categories"
},
{
"id": 5,
"type": "column",
"value": "podcast_id"
},
{
"id": 0,
"type": "column",
"value": "category"
},
{
"id": 2,
"type": "table",
"value": "podcasts"
},
{
"id": 3,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": [
7,
8,
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"B-TABLE",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O"
] |
13,101
|
synthea
|
bird:train.json:1519
|
Among the patients with viral sinusitis condition, which patient's gender is most affected? Provide the number for each respectively.
|
SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'
|
[
"Among",
"the",
"patients",
"with",
"viral",
"sinusitis",
"condition",
",",
"which",
"patient",
"'s",
"gender",
"is",
"most",
"affected",
"?",
"Provide",
"the",
"number",
"for",
"each",
"respectively",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "Viral sinusitis (disorder)"
},
{
"id": 2,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "conditions"
},
{
"id": 0,
"type": "table",
"value": "patients"
},
{
"id": 4,
"type": "column",
"value": "patient"
},
{
"id": 7,
"type": "column",
"value": "gender"
},
{
"id": 5,
"type": "value",
"value": "0"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 8,
"type": "value",
"value": "F"
},
{
"id": 9,
"type": "value",
"value": "M"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,102
|
synthea
|
bird:train.json:1378
|
Give the procedure description of Ms. Jacquelyn Shanahan on 2009/8/9.
|
SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'
|
[
"Give",
"the",
"procedure",
"description",
"of",
"Ms.",
"Jacquelyn",
"Shanahan",
"on",
"2009/8/9",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "description"
},
{
"id": 2,
"type": "table",
"value": "procedures"
},
{
"id": 11,
"type": "value",
"value": "2009-08-09"
},
{
"id": 7,
"type": "value",
"value": "Jacquelyn"
},
{
"id": 1,
"type": "table",
"value": "patients"
},
{
"id": 9,
"type": "value",
"value": "Shanahan"
},
{
"id": 3,
"type": "column",
"value": "patient"
},
{
"id": 4,
"type": "column",
"value": "prefix"
},
{
"id": 6,
"type": "column",
"value": "first"
},
{
"id": 8,
"type": "column",
"value": "last"
},
{
"id": 10,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "value",
"value": "Ms."
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"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": []
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"B-VALUE",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
13,103
|
cre_Doc_Tracking_DB
|
spider:train_spider.json:4244
|
Show the ids of all employees who have destroyed a document.
|
SELECT DISTINCT Destroyed_by_Employee_ID FROM Documents_to_be_destroyed
|
[
"Show",
"the",
"ids",
"of",
"all",
"employees",
"who",
"have",
"destroyed",
"a",
"document",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "documents_to_be_destroyed"
},
{
"id": 1,
"type": "column",
"value": "destroyed_by_employee_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,104
|
machine_repair
|
spider:train_spider.json:2238
|
What is the team and starting year for each technician?
|
SELECT Team , Starting_Year FROM technician
|
[
"What",
"is",
"the",
"team",
"and",
"starting",
"year",
"for",
"each",
"technician",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "starting_year"
},
{
"id": 0,
"type": "table",
"value": "technician"
},
{
"id": 1,
"type": "column",
"value": "team"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5,
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
13,106
|
airline
|
bird:train.json:5842
|
Tell the number of fights landed earlier on Miami Airport on 2018/8/12.
|
SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/12' AND T2.DEST = 'MIA' AND T2.ARR_DELAY < 0
|
[
"Tell",
"the",
"number",
"of",
"fights",
"landed",
"earlier",
"on",
"Miami",
"Airport",
"on",
"2018/8/12",
"."
] |
[
{
"id": 5,
"type": "value",
"value": "2018/8/12"
},
{
"id": 7,
"type": "column",
"value": "arr_delay"
},
{
"id": 0,
"type": "table",
"value": "airports"
},
{
"id": 1,
"type": "table",
"value": "airlines"
},
{
"id": 4,
"type": "column",
"value": "fl_date"
},
{
"id": 2,
"type": "column",
"value": "code"
},
{
"id": 3,
"type": "column",
"value": "dest"
},
{
"id": 6,
"type": "value",
"value": "MIA"
},
{
"id": 8,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
11
]
},
{
"entity_id": 6,
"token_idxs": [
8
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
13,107
|
works_cycles
|
bird:train.json:7122
|
Please list 3 businesses along with their IDs that use cellphones.
|
SELECT T2.BusinessEntityID FROM PhoneNumberType AS T1 INNER JOIN PersonPhone AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID WHERE T1.Name = 'Cell' LIMIT 3
|
[
"Please",
"list",
"3",
"businesses",
"along",
"with",
"their",
"IDs",
"that",
"use",
"cellphones",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "phonenumbertypeid"
},
{
"id": 0,
"type": "column",
"value": "businessentityid"
},
{
"id": 1,
"type": "table",
"value": "phonenumbertype"
},
{
"id": 2,
"type": "table",
"value": "personphone"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "Cell"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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",
"O"
] |
13,108
|
music_2
|
spider:train_spider.json:5249
|
How many vocal types are used in the song "Le Pop"?
|
SELECT count(*) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop"
|
[
"How",
"many",
"vocal",
"types",
"are",
"used",
"in",
"the",
"song",
"\"",
"Le",
"Pop",
"\"",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "vocals"
},
{
"id": 3,
"type": "column",
"value": "Le Pop"
},
{
"id": 4,
"type": "column",
"value": "songid"
},
{
"id": 1,
"type": "table",
"value": "songs"
},
{
"id": 2,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10,
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
13,109
|
wrestler
|
spider:train_spider.json:1858
|
List the names of wrestlers and the teams in elimination in descending order of days held.
|
SELECT T2.Name , T1.Team FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID ORDER BY T2.Days_held DESC
|
[
"List",
"the",
"names",
"of",
"wrestlers",
"and",
"the",
"teams",
"in",
"elimination",
"in",
"descending",
"order",
"of",
"days",
"held",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "elimination"
},
{
"id": 5,
"type": "column",
"value": "wrestler_id"
},
{
"id": 4,
"type": "column",
"value": "days_held"
},
{
"id": 3,
"type": "table",
"value": "wrestler"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
"type": "column",
"value": "team"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
14,
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
13,110
|
airline
|
bird:train.json:5832
|
What is the flight number of the flight operated by American Airlines Inc. that had the longest delay in departure?
|
SELECT T1.OP_CARRIER_FL_NUM FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' ORDER BY T1.DEP_TIME DESC LIMIT 1
|
[
"What",
"is",
"the",
"flight",
"number",
"of",
"the",
"flight",
"operated",
"by",
"American",
"Airlines",
"Inc.",
"that",
"had",
"the",
"longest",
"delay",
"in",
"departure",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "American Airlines Inc.: AA"
},
{
"id": 7,
"type": "column",
"value": "op_carrier_airline_id"
},
{
"id": 0,
"type": "column",
"value": "op_carrier_fl_num"
},
{
"id": 1,
"type": "table",
"value": "Air Carriers"
},
{
"id": 2,
"type": "column",
"value": "description"
},
{
"id": 4,
"type": "column",
"value": "dep_time"
},
{
"id": 5,
"type": "table",
"value": "airlines"
},
{
"id": 6,
"type": "table",
"value": "airports"
},
{
"id": 9,
"type": "column",
"value": "origin"
},
{
"id": 8,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10,
12
]
},
{
"entity_id": 4,
"token_idxs": [
19
]
},
{
"entity_id": 5,
"token_idxs": [
11
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,111
|
card_games
|
bird:dev.json:393
|
On how many cards designed by John Avon is its foil non-powerful?
|
SELECT COUNT(id) FROM cards WHERE (cardKingdomId IS NULL OR cardKingdomFoilId IS NULL) AND artist = 'John Avon'
|
[
"On",
"how",
"many",
"cards",
"designed",
"by",
"John",
"Avon",
"is",
"its",
"foil",
"non",
"-",
"powerful",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "cardkingdomfoilid"
},
{
"id": 4,
"type": "column",
"value": "cardkingdomid"
},
{
"id": 3,
"type": "value",
"value": "John Avon"
},
{
"id": 2,
"type": "column",
"value": "artist"
},
{
"id": 0,
"type": "table",
"value": "cards"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6,
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,112
|
gymnast
|
spider:train_spider.json:1756
|
What is the average age of all gymnasts?
|
SELECT avg(T2.Age) FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID
|
[
"What",
"is",
"the",
"average",
"age",
"of",
"all",
"gymnasts",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "gymnast_id"
},
{
"id": 4,
"type": "column",
"value": "people_id"
},
{
"id": 0,
"type": "table",
"value": "gymnast"
},
{
"id": 1,
"type": "table",
"value": "people"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
13,113
|
movies_4
|
bird:train.json:522
|
Provide the overview for the movie "The Pacifier".
|
SELECT overview FROM movie WHERE title = 'The Pacifier'
|
[
"Provide",
"the",
"overview",
"for",
"the",
"movie",
"\"",
"The",
"Pacifier",
"\"",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "The Pacifier"
},
{
"id": 1,
"type": "column",
"value": "overview"
},
{
"id": 0,
"type": "table",
"value": "movie"
},
{
"id": 2,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7,
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
13,114
|
network_2
|
spider:train_spider.json:4410
|
Who is the oldest person whose job is student?
|
SELECT name FROM Person WHERE job = 'student' AND age = (SELECT max(age) FROM person WHERE job = 'student' )
|
[
"Who",
"is",
"the",
"oldest",
"person",
"whose",
"job",
"is",
"student",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "student"
},
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "job"
},
{
"id": 4,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
13,115
|
book_publishing_company
|
bird:train.json:234
|
In the books published by US publishers, which book has the highest royalty? List these books in the descending order of royalty.
|
SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id WHERE T2.country = 'USA' ORDER BY T1.royalty DESC
|
[
"In",
"the",
"books",
"published",
"by",
"US",
"publishers",
",",
"which",
"book",
"has",
"the",
"highest",
"royalty",
"?",
"List",
"these",
"books",
"in",
"the",
"descending",
"order",
"of",
"royalty",
"."
] |
[
{
"id": 6,
"type": "table",
"value": "publishers"
},
{
"id": 1,
"type": "table",
"value": "roysched"
},
{
"id": 7,
"type": "column",
"value": "title_id"
},
{
"id": 2,
"type": "column",
"value": "country"
},
{
"id": 4,
"type": "column",
"value": "royalty"
},
{
"id": 5,
"type": "table",
"value": "titles"
},
{
"id": 8,
"type": "column",
"value": "pub_id"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "value",
"value": "USA"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": [
23
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
3
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,117
|
retail_world
|
bird:train.json:6318
|
What is the total production of the product that is ordered in the highest quantity in order no. 10248?
|
SELECT T1.UnitsInStock + T1.UnitsOnOrder FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T2.Quantity DESC LIMIT 1
|
[
"What",
"is",
"the",
"total",
"production",
"of",
"the",
"product",
"that",
"is",
"ordered",
"in",
"the",
"highest",
"quantity",
"in",
"order",
"no",
".",
"10248",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "Order Details"
},
{
"id": 5,
"type": "column",
"value": "unitsinstock"
},
{
"id": 6,
"type": "column",
"value": "unitsonorder"
},
{
"id": 7,
"type": "column",
"value": "productid"
},
{
"id": 0,
"type": "table",
"value": "products"
},
{
"id": 4,
"type": "column",
"value": "quantity"
},
{
"id": 2,
"type": "column",
"value": "orderid"
},
{
"id": 3,
"type": "value",
"value": "10248"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
19
]
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
15,
16
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
13,118
|
phone_1
|
spider:train_spider.json:1030
|
Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.
|
SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full';
|
[
"Find",
"all",
"phones",
"that",
"have",
"word",
"'",
"Full",
"'",
"in",
"their",
"accreditation",
"types",
".",
"List",
"the",
"Hardware",
"Model",
"name",
"and",
"Company",
"name",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "hardware_model_name"
},
{
"id": 3,
"type": "column",
"value": "accreditation_type"
},
{
"id": 2,
"type": "column",
"value": "company_name"
},
{
"id": 0,
"type": "table",
"value": "phone"
},
{
"id": 4,
"type": "value",
"value": "Full"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
16,
17,
18
]
},
{
"entity_id": 2,
"token_idxs": [
20,
21
]
},
{
"entity_id": 3,
"token_idxs": [
11,
12
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
13,119
|
cre_Doc_and_collections
|
bird:test.json:689
|
What is the name of the parent collection of the collection named Nice?
|
SELECT T2.Collection_Name FROM Collections AS T1 JOIN Collections AS T2 ON T1.Parent_Collection_ID = T2.Collection_ID WHERE T1.Collection_Name = "Nice";
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"parent",
"collection",
"of",
"the",
"collection",
"named",
"Nice",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "parent_collection_id"
},
{
"id": 0,
"type": "column",
"value": "collection_name"
},
{
"id": 4,
"type": "column",
"value": "collection_id"
},
{
"id": 1,
"type": "table",
"value": "collections"
},
{
"id": 2,
"type": "column",
"value": "Nice"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O"
] |
13,120
|
soccer_2016
|
bird:train.json:1948
|
What is the id of the team with the highest number of matches won?
|
SELECT Match_Id FROM `Match` ORDER BY Match_Winner DESC LIMIT 1
|
[
"What",
"is",
"the",
"i",
"d",
"of",
"the",
"team",
"with",
"the",
"highest",
"number",
"of",
"matches",
"won",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "match_winner"
},
{
"id": 1,
"type": "column",
"value": "match_id"
},
{
"id": 0,
"type": "table",
"value": "Match"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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",
"B-TABLE",
"O",
"O"
] |
13,121
|
retail_world
|
bird:train.json:6361
|
What is the full name of the employee with the highest salary?
|
SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"employee",
"with",
"the",
"highest",
"salary",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "employees"
},
{
"id": 1,
"type": "column",
"value": "firstname"
},
{
"id": 2,
"type": "column",
"value": "lastname"
},
{
"id": 3,
"type": "column",
"value": "salary"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,122
|
bakery_1
|
bird:test.json:1574
|
Give the ids of goods that are more than twice as expensive as the average good.
|
SELECT id FROM goods WHERE price > (SELECT avg(price) FROM goods)
|
[
"Give",
"the",
"ids",
"of",
"goods",
"that",
"are",
"more",
"than",
"twice",
"as",
"expensive",
"as",
"the",
"average",
"good",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "goods"
},
{
"id": 2,
"type": "column",
"value": "price"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
[
{
"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",
"O",
"O",
"O",
"O",
"O"
] |
13,123
|
cre_Doc_and_collections
|
bird:test.json:662
|
What are the collection susbset names?
|
SELECT Collection_Subset_Name FROM Collection_Subsets;
|
[
"What",
"are",
"the",
"collection",
"susbset",
"names",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "collection_subset_name"
},
{
"id": 0,
"type": "table",
"value": "collection_subsets"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O"
] |
13,124
|
customers_card_transactions
|
spider:train_spider.json:722
|
Return the code of the card type that is most common.
|
SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1
|
[
"Return",
"the",
"code",
"of",
"the",
"card",
"type",
"that",
"is",
"most",
"common",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "customers_cards"
},
{
"id": 1,
"type": "column",
"value": "card_type_code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
13,125
|
soccer_2
|
spider:train_spider.json:4965
|
What is the number of students playing as a goalie?
|
SELECT count(*) FROM tryout WHERE pPos = 'goalie'
|
[
"What",
"is",
"the",
"number",
"of",
"students",
"playing",
"as",
"a",
"goalie",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "tryout"
},
{
"id": 2,
"type": "value",
"value": "goalie"
},
{
"id": 1,
"type": "column",
"value": "ppos"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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"
] |
13,126
|
art_1
|
bird:test.json:1296
|
Find the death year of the artist who made the least number of sculptures?
|
SELECT T1.deathYear FROM artists AS T1 JOIN sculptures AS T2 ON T1.artistID = T2.sculptorID GROUP BY T2.sculptorID ORDER BY count(*) LIMIT 1
|
[
"Find",
"the",
"death",
"year",
"of",
"the",
"artist",
"who",
"made",
"the",
"least",
"number",
"of",
"sculptures",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "sculptorid"
},
{
"id": 3,
"type": "table",
"value": "sculptures"
},
{
"id": 1,
"type": "column",
"value": "deathyear"
},
{
"id": 4,
"type": "column",
"value": "artistid"
},
{
"id": 2,
"type": "table",
"value": "artists"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,127
|
world_development_indicators
|
bird:train.json:2224
|
Among the countries who uses the 1968 System of National Accounts methodology, how many are in the Middle East & North Africa? Name the country with the highest CO2 emissions from solid fuel consumption in kiloton.
|
SELECT COUNT(DISTINCT T1.CountryCode) FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T2.SystemOfNationalAccounts = 'Country uses the 1968 System of National Accounts methodology.' AND T1.IndicatorName = 'CO2 emissions FROM solid fuel consumption (kt)' UNION SELECT * FROM ( SELECT T1.CountryName FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T2.SystemOfNationalAccounts = 'Country uses the 1968 System of National Accounts methodology.' AND T1.IndicatorName = 'CO2 emissions FROM solid fuel consumption (kt)' GROUP BY T1.CountryName ORDER BY SUM(T1.value) DESC LIMIT 1 )
|
[
"Among",
"the",
"countries",
"who",
"uses",
"the",
"1968",
"System",
"of",
"National",
"Accounts",
"methodology",
",",
"how",
"many",
"are",
"in",
"the",
"Middle",
"East",
"&",
"North",
"Africa",
"?",
"Name",
"the",
"country",
"with",
"the",
"highest",
"CO2",
"emissions",
"from",
"solid",
"fuel",
"consumption",
"in",
"kiloton",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "Country uses the 1968 System of National Accounts methodology."
},
{
"id": 8,
"type": "value",
"value": "CO2 emissions FROM solid fuel consumption (kt)"
},
{
"id": 4,
"type": "value",
"value": "Middle East & North Africa"
},
{
"id": 5,
"type": "column",
"value": "systemofnationalaccounts"
},
{
"id": 7,
"type": "column",
"value": "indicatorname"
},
{
"id": 2,
"type": "column",
"value": "countrycode"
},
{
"id": 9,
"type": "column",
"value": "countryname"
},
{
"id": 0,
"type": "table",
"value": "indicators"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 3,
"type": "column",
"value": "region"
},
{
"id": 10,
"type": "column",
"value": "value"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
26
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15,
16
]
},
{
"entity_id": 4,
"token_idxs": [
18,
19,
20,
21,
22
]
},
{
"entity_id": 5,
"token_idxs": [
7,
8,
9,
10
]
},
{
"entity_id": 6,
"token_idxs": [
2,
3,
4,
5,
6,
11
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
30,
31,
32,
33,
34,
35
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
13,128
|
district_spokesman
|
bird:test.json:1197
|
Find the number of districts which have no spokesmen.
|
SELECT count(*) FROM district WHERE district_id NOT IN (SELECT district_id FROM spokesman_district)
|
[
"Find",
"the",
"number",
"of",
"districts",
"which",
"have",
"no",
"spokesmen",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "spokesman_district"
},
{
"id": 1,
"type": "column",
"value": "district_id"
},
{
"id": 0,
"type": "table",
"value": "district"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
13,129
|
club_1
|
spider:train_spider.json:4284
|
What is the location of the club named "Tennis Club"?
|
SELECT clublocation FROM club WHERE clubname = "Tennis Club"
|
[
"What",
"is",
"the",
"location",
"of",
"the",
"club",
"named",
"\"",
"Tennis",
"Club",
"\"",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "clublocation"
},
{
"id": 3,
"type": "column",
"value": "Tennis Club"
},
{
"id": 2,
"type": "column",
"value": "clubname"
},
{
"id": 0,
"type": "table",
"value": "club"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
13,131
|
menu
|
bird:train.json:5571
|
Please list the page numbers of all the menu pages on which the dish "Chicken gumbo" had appeared.
|
SELECT T1.page_number FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Chicken gumbo'
|
[
"Please",
"list",
"the",
"page",
"numbers",
"of",
"all",
"the",
"menu",
"pages",
"on",
"which",
"the",
"dish",
"\"",
"Chicken",
"gumbo",
"\"",
"had",
"appeared",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "Chicken gumbo"
},
{
"id": 8,
"type": "column",
"value": "menu_page_id"
},
{
"id": 0,
"type": "column",
"value": "page_number"
},
{
"id": 4,
"type": "table",
"value": "menupage"
},
{
"id": 5,
"type": "table",
"value": "menuitem"
},
{
"id": 6,
"type": "column",
"value": "dish_id"
},
{
"id": 1,
"type": "table",
"value": "dish"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
15,
16
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O"
] |
13,132
|
student_loan
|
bird:train.json:4523
|
State name of students who have the longest duration of absense from school and do not have payment due.
|
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg' ORDER BY T1.month DESC LIMIT 1
|
[
"State",
"name",
"of",
"students",
"who",
"have",
"the",
"longest",
"duration",
"of",
"absense",
"from",
"school",
"and",
"do",
"not",
"have",
"payment",
"due",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "longest_absense_from_school"
},
{
"id": 2,
"type": "table",
"value": "no_payment_due"
},
{
"id": 5,
"type": "column",
"value": "month"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "column",
"value": "bool"
},
{
"id": 4,
"type": "value",
"value": "neg"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
10,
11
]
},
{
"entity_id": 2,
"token_idxs": [
17,
18
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
13,133
|
language_corpus
|
bird:train.json:5793
|
Which word has the time of occurrences as 340691?
|
SELECT word FROM words WHERE occurrences = 340691
|
[
"Which",
"word",
"has",
"the",
"time",
"of",
"occurrences",
"as",
"340691",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "occurrences"
},
{
"id": 3,
"type": "value",
"value": "340691"
},
{
"id": 0,
"type": "table",
"value": "words"
},
{
"id": 1,
"type": "column",
"value": "word"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
13,134
|
language_corpus
|
bird:train.json:5738
|
Please list the top three most frequently occurring words and their ids.
|
SELECT word, wid FROM words ORDER BY occurrences DESC LIMIT 3
|
[
"Please",
"list",
"the",
"top",
"three",
"most",
"frequently",
"occurring",
"words",
"and",
"their",
"ids",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "occurrences"
},
{
"id": 0,
"type": "table",
"value": "words"
},
{
"id": 1,
"type": "column",
"value": "word"
},
{
"id": 2,
"type": "column",
"value": "wid"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
13,135
|
disney
|
bird:train.json:4728
|
Determine the average gross for Disney's PG-13-rated action movies.
|
SELECT SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) / COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'PG-13'
|
[
"Determine",
"the",
"average",
"gross",
"for",
"Disney",
"'s",
"PG-13",
"-",
"rated",
"action",
"movies",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "movies_total_gross"
},
{
"id": 1,
"type": "column",
"value": "mpaa_rating"
},
{
"id": 3,
"type": "column",
"value": "movie_title"
},
{
"id": 5,
"type": "column",
"value": "total_gross"
},
{
"id": 2,
"type": "value",
"value": "PG-13"
},
{
"id": 4,
"type": "value",
"value": ","
},
{
"id": 6,
"type": "value",
"value": "$"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
13,136
|
hockey
|
bird:train.json:7818
|
In 1998, How many wins were made by team 'CAR' per game played? Who contributed the most goals? State the player ID.
|
SELECT CAST(T1.W AS REAL) / T1.G, T2.playerID FROM Teams AS T1 INNER JOIN Scoring AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.tmID = 'CAR' AND T1.year = 1998 GROUP BY T1.W / T1.G, T2.playerID ORDER BY SUM(T2.G) DESC LIMIT 1
|
[
"In",
"1998",
",",
"How",
"many",
"wins",
"were",
"made",
"by",
"team",
"'",
"CAR",
"'",
"per",
"game",
"played",
"?",
"Who",
"contributed",
"the",
"most",
"goals",
"?",
"State",
"the",
"player",
"ID",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "playerid"
},
{
"id": 2,
"type": "table",
"value": "scoring"
},
{
"id": 1,
"type": "table",
"value": "teams"
},
{
"id": 5,
"type": "column",
"value": "tmid"
},
{
"id": 7,
"type": "column",
"value": "year"
},
{
"id": 8,
"type": "value",
"value": "1998"
},
{
"id": 6,
"type": "value",
"value": "CAR"
},
{
"id": 3,
"type": "column",
"value": "w"
},
{
"id": 4,
"type": "column",
"value": "g"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
26
]
},
{
"entity_id": 6,
"token_idxs": [
11
]
},
{
"entity_id": 7,
"token_idxs": [
25
]
},
{
"entity_id": 8,
"token_idxs": [
1
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 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",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
13,137
|
craftbeer
|
bird:train.json:8859
|
Of all the beer styles produced by Stevens Point Brewery, how many percent do they allot for American Adjunct Lager?
|
SELECT CAST(SUM(IIF(T1.style = 'American Adjunct Lager', 1, 0)) AS REAL) * 100 / COUNT(T1.brewery_id) FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T2.name = 'Stevens Point Brewery'
|
[
"Of",
"all",
"the",
"beer",
"styles",
"produced",
"by",
"Stevens",
"Point",
"Brewery",
",",
"how",
"many",
"percent",
"do",
"they",
"allot",
"for",
"American",
"Adjunct",
"Lager",
"?"
] |
[
{
"id": 10,
"type": "value",
"value": "American Adjunct Lager"
},
{
"id": 3,
"type": "value",
"value": "Stevens Point Brewery"
},
{
"id": 4,
"type": "column",
"value": "brewery_id"
},
{
"id": 1,
"type": "table",
"value": "breweries"
},
{
"id": 0,
"type": "table",
"value": "beers"
},
{
"id": 9,
"type": "column",
"value": "style"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 5,
"type": "column",
"value": "id"
},
{
"id": 7,
"type": "value",
"value": "1"
},
{
"id": 8,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7,
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
4
]
},
{
"entity_id": 10,
"token_idxs": [
18,
19,
20
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
13,138
|
advertising_agencies
|
bird:test.json:2071
|
Show agency details for client with detail 'Mac'.
|
SELECT T2.agency_details FROM Clients AS T1 JOIN Agencies AS T2 ON T1.agency_id = T2.agency_id WHERE T1.client_details = 'Mac'
|
[
"Show",
"agency",
"details",
"for",
"client",
"with",
"detail",
"'",
"Mac",
"'",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "agency_details"
},
{
"id": 3,
"type": "column",
"value": "client_details"
},
{
"id": 5,
"type": "column",
"value": "agency_id"
},
{
"id": 2,
"type": "table",
"value": "agencies"
},
{
"id": 1,
"type": "table",
"value": "clients"
},
{
"id": 4,
"type": "value",
"value": "Mac"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
1
]
},
{
"entity_id": 3,
"token_idxs": [
5,
6
]
},
{
"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-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
13,139
|
club_1
|
spider:train_spider.json:4313
|
Which clubs have one or more members whose advisor is "1121"?
|
SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.advisor = 1121
|
[
"Which",
"clubs",
"have",
"one",
"or",
"more",
"members",
"whose",
"advisor",
"is",
"\"",
"1121",
"\"",
"?"
] |
[
{
"id": 5,
"type": "table",
"value": "member_of_club"
},
{
"id": 0,
"type": "column",
"value": "clubname"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 2,
"type": "column",
"value": "advisor"
},
{
"id": 7,
"type": "column",
"value": "clubid"
},
{
"id": 6,
"type": "column",
"value": "stuid"
},
{
"id": 3,
"type": "value",
"value": "1121"
},
{
"id": 4,
"type": "table",
"value": "club"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
1
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
13,140
|
superstore
|
bird:train.json:2437
|
What is the name of the product that Aimee Bixby bought?
|
SELECT DISTINCT T3.`Product Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Aimee Bixby'
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"product",
"that",
"Aimee",
"Bixby",
"bought",
"?"
] |
[
{
"id": 4,
"type": "table",
"value": "east_superstore"
},
{
"id": 2,
"type": "column",
"value": "Customer Name"
},
{
"id": 0,
"type": "column",
"value": "Product Name"
},
{
"id": 3,
"type": "value",
"value": "Aimee Bixby"
},
{
"id": 7,
"type": "column",
"value": "Customer ID"
},
{
"id": 6,
"type": "column",
"value": "Product ID"
},
{
"id": 1,
"type": "table",
"value": "product"
},
{
"id": 5,
"type": "table",
"value": "people"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
1,
2,
3
]
},
{
"entity_id": 3,
"token_idxs": [
8,
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
13,141
|
behavior_monitoring
|
spider:train_spider.json:3125
|
What are the line 1 of addresses shared by some students and some teachers?
|
SELECT T1.line_1 FROM Addresses AS T1 JOIN Students AS T2 ON T1.address_id = T2.address_id INTERSECT SELECT T1.line_1 FROM Addresses AS T1 JOIN Teachers AS T2 ON T1.address_id = T2.address_id
|
[
"What",
"are",
"the",
"line",
"1",
"of",
"addresses",
"shared",
"by",
"some",
"students",
"and",
"some",
"teachers",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "address_id"
},
{
"id": 1,
"type": "table",
"value": "addresses"
},
{
"id": 2,
"type": "table",
"value": "students"
},
{
"id": 3,
"type": "table",
"value": "teachers"
},
{
"id": 0,
"type": "column",
"value": "line_1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O"
] |
13,142
|
phone_1
|
spider:train_spider.json:1027
|
What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?
|
SELECT max(T1.RAM_MiB) , min(T1.RAM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";
|
[
"What",
"is",
"maximum",
"and",
"minimum",
"RAM",
"size",
"of",
"phone",
"produced",
"by",
"company",
"named",
"\"",
"Nokia",
"Corporation",
"\"",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "Nokia Corporation"
},
{
"id": 2,
"type": "column",
"value": "company_name"
},
{
"id": 0,
"type": "table",
"value": "chip_model"
},
{
"id": 5,
"type": "column",
"value": "model_name"
},
{
"id": 6,
"type": "column",
"value": "chip_model"
},
{
"id": 4,
"type": "column",
"value": "ram_mib"
},
{
"id": 1,
"type": "table",
"value": "phone"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
11,
12
]
},
{
"entity_id": 3,
"token_idxs": [
14,
15
]
},
{
"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",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O"
] |
13,144
|
election
|
spider:train_spider.json:2790
|
Show the name of the party that has the most delegates.
|
SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party ORDER BY COUNT(*) DESC LIMIT 1
|
[
"Show",
"the",
"name",
"of",
"the",
"party",
"that",
"has",
"the",
"most",
"delegates",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "election"
},
{
"id": 3,
"type": "column",
"value": "party_id"
},
{
"id": 0,
"type": "column",
"value": "party"
},
{
"id": 2,
"type": "table",
"value": "party"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
13,145
|
soccer_2
|
spider:train_spider.json:4958
|
How many different colleges do attend the tryout test?
|
SELECT count(DISTINCT cName) FROM tryout
|
[
"How",
"many",
"different",
"colleges",
"do",
"attend",
"the",
"tryout",
"test",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "tryout"
},
{
"id": 1,
"type": "column",
"value": "cname"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
13,146
|
loan_1
|
spider:train_spider.json:3065
|
What are the names and account balances for customers who have taken a total amount of more than 5000 in loans?
|
SELECT T1.cust_name , T1.acc_type FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_name HAVING sum(T2.amount) > 5000
|
[
"What",
"are",
"the",
"names",
"and",
"account",
"balances",
"for",
"customers",
"who",
"have",
"taken",
"a",
"total",
"amount",
"of",
"more",
"than",
"5000",
"in",
"loans",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "cust_name"
},
{
"id": 1,
"type": "column",
"value": "acc_type"
},
{
"id": 2,
"type": "table",
"value": "customer"
},
{
"id": 5,
"type": "column",
"value": "cust_id"
},
{
"id": 6,
"type": "column",
"value": "amount"
},
{
"id": 3,
"type": "table",
"value": "loan"
},
{
"id": 4,
"type": "value",
"value": "5000"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
20
]
},
{
"entity_id": 4,
"token_idxs": [
18
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
14
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O"
] |
13,147
|
works_cycles
|
bird:train.json:7016
|
List the purchase order whereby all received quantity were rejected? Name those product.
|
SELECT T1.Name FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T2.RejectedQty = T2.ReceivedQty AND T2.RejectedQty <> 0
|
[
"List",
"the",
"purchase",
"order",
"whereby",
"all",
"received",
"quantity",
"were",
"rejected",
"?",
"Name",
"those",
"product",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "purchaseorderdetail"
},
{
"id": 4,
"type": "column",
"value": "rejectedqty"
},
{
"id": 5,
"type": "column",
"value": "receivedqty"
},
{
"id": 3,
"type": "column",
"value": "productid"
},
{
"id": 1,
"type": "table",
"value": "product"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": [
2,
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
13,148
|
candidate_poll
|
spider:train_spider.json:2424
|
how many people are there whose weight is higher than 85 for each gender?
|
SELECT count(*) , sex FROM people WHERE weight > 85 GROUP BY sex
|
[
"how",
"many",
"people",
"are",
"there",
"whose",
"weight",
"is",
"higher",
"than",
"85",
"for",
"each",
"gender",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "people"
},
{
"id": 2,
"type": "column",
"value": "weight"
},
{
"id": 1,
"type": "column",
"value": "sex"
},
{
"id": 3,
"type": "value",
"value": "85"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"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-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O"
] |
13,149
|
soccer_2
|
spider:train_spider.json:5036
|
How many states that have some college students playing in the mid position but not in the goalie position.
|
SELECT COUNT(*) FROM (SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' EXCEPT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie')
|
[
"How",
"many",
"states",
"that",
"have",
"some",
"college",
"students",
"playing",
"in",
"the",
"mid",
"position",
"but",
"not",
"in",
"the",
"goalie",
"position",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "college"
},
{
"id": 2,
"type": "table",
"value": "tryout"
},
{
"id": 5,
"type": "value",
"value": "goalie"
},
{
"id": 0,
"type": "column",
"value": "state"
},
{
"id": 6,
"type": "column",
"value": "cname"
},
{
"id": 3,
"type": "column",
"value": "ppos"
},
{
"id": 4,
"type": "value",
"value": "mid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
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"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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11
]
},
{
"entity_id": 5,
"token_idxs": [
17
]
},
{
"entity_id": 6,
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},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
13,150
|
theme_gallery
|
spider:train_spider.json:1679
|
What is the theme, date, and attendance for the exhibition in year 2004?
|
SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004
|
[
"What",
"is",
"the",
"theme",
",",
"date",
",",
"and",
"attendance",
"for",
"the",
"exhibition",
"in",
"year",
"2004",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "exhibition_record"
},
{
"id": 7,
"type": "column",
"value": "exhibition_id"
},
{
"id": 2,
"type": "column",
"value": "attendance"
},
{
"id": 4,
"type": "table",
"value": "exhibition"
},
{
"id": 0,
"type": "column",
"value": "theme"
},
{
"id": 1,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "column",
"value": "year"
},
{
"id": 6,
"type": "value",
"value": "2004"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
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5
]
},
{
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8
]
},
{
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"token_idxs": []
},
{
"entity_id": 4,
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11
]
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
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14
]
},
{
"entity_id": 7,
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},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
13,151
|
flight_4
|
spider:train_spider.json:6842
|
What is the name of the country with the most number of home airlines?
|
SELECT country FROM airlines GROUP BY country ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"country",
"with",
"the",
"most",
"number",
"of",
"home",
"airlines",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "airlines"
},
{
"id": 1,
"type": "column",
"value": "country"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
13
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
13,152
|
olympics
|
bird:train.json:4945
|
What is the name of the event where competitors received the most gold medals?
|
SELECT T2.event_name FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T3.medal_name = 'Gold' GROUP BY T2.id ORDER BY COUNT(T1.event_id) DESC LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"event",
"where",
"competitors",
"received",
"the",
"most",
"gold",
"medals",
"?"
] |
[
{
"id": 5,
"type": "table",
"value": "competitor_event"
},
{
"id": 1,
"type": "column",
"value": "event_name"
},
{
"id": 3,
"type": "column",
"value": "medal_name"
},
{
"id": 7,
"type": "column",
"value": "medal_id"
},
{
"id": 8,
"type": "column",
"value": "event_id"
},
{
"id": 2,
"type": "table",
"value": "medal"
},
{
"id": 6,
"type": "table",
"value": "event"
},
{
"id": 4,
"type": "value",
"value": "Gold"
},
{
"id": 0,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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13
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
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12
]
},
{
"entity_id": 5,
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8
]
},
{
"entity_id": 6,
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6
]
},
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},
{
"entity_id": 8,
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{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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"entity_id": 13,
"token_idxs": []
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"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
13,153
|
college_3
|
spider:train_spider.json:4687
|
Find the department name and room of the course INTRODUCTION TO COMPUTER SCIENCE.
|
SELECT T2.Dname , T2.Room FROM COURSE AS T1 JOIN DEPARTMENT AS T2 ON T1.DNO = T2.DNO WHERE T1.CName = "INTRODUCTION TO COMPUTER SCIENCE"
|
[
"Find",
"the",
"department",
"name",
"and",
"room",
"of",
"the",
"course",
"INTRODUCTION",
"TO",
"COMPUTER",
"SCIENCE",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "INTRODUCTION TO COMPUTER SCIENCE"
},
{
"id": 3,
"type": "table",
"value": "department"
},
{
"id": 2,
"type": "table",
"value": "course"
},
{
"id": 0,
"type": "column",
"value": "dname"
},
{
"id": 4,
"type": "column",
"value": "cname"
},
{
"id": 1,
"type": "column",
"value": "room"
},
{
"id": 6,
"type": "column",
"value": "dno"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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5
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id": 5,
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9,
10,
11,
12
]
},
{
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{
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},
{
"entity_id": 8,
"token_idxs": []
},
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"entity_id": 9,
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},
{
"entity_id": 10,
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},
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
13,154
|
game_injury
|
spider:train_spider.json:1275
|
List the dates of games by the home team name in descending order.
|
SELECT Date FROM game ORDER BY home_team DESC
|
[
"List",
"the",
"dates",
"of",
"games",
"by",
"the",
"home",
"team",
"name",
"in",
"descending",
"order",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "home_team"
},
{
"id": 0,
"type": "table",
"value": "game"
},
{
"id": 1,
"type": "column",
"value": "date"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
7,
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
13,155
|
books
|
bird:train.json:6046
|
List every book that Ursola Purdy has ordered.
|
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Ursola' AND T4.last_name = 'Purdy'
|
[
"List",
"every",
"book",
"that",
"Ursola",
"Purdy",
"has",
"ordered",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "customer_id"
},
{
"id": 2,
"type": "table",
"value": "cust_order"
},
{
"id": 4,
"type": "column",
"value": "first_name"
},
{
"id": 9,
"type": "table",
"value": "order_line"
},
{
"id": 6,
"type": "column",
"value": "last_name"
},
{
"id": 1,
"type": "table",
"value": "customer"
},
{
"id": 10,
"type": "column",
"value": "order_id"
},
{
"id": 11,
"type": "column",
"value": "book_id"
},
{
"id": 5,
"type": "value",
"value": "Ursola"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 7,
"type": "value",
"value": "Purdy"
},
{
"id": 8,
"type": "table",
"value": "book"
}
] |
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{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
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},
{
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},
{
"entity_id": 5,
"token_idxs": [
4
]
},
{
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},
{
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5
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},
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2
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},
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},
{
"entity_id": 10,
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7
]
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"B-VALUE",
"O",
"B-COLUMN",
"O"
] |
13,156
|
movie_3
|
bird:train.json:9227
|
How many films have a rental rate of 0.99?
|
SELECT COUNT(film_id) FROM film WHERE rental_rate = 0.99
|
[
"How",
"many",
"films",
"have",
"a",
"rental",
"rate",
"of",
"0.99",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "rental_rate"
},
{
"id": 3,
"type": "column",
"value": "film_id"
},
{
"id": 0,
"type": "table",
"value": "film"
},
{
"id": 2,
"type": "value",
"value": "0.99"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"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",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
13,157
|
shipping
|
bird:train.json:5585
|
What is the full name of the driver that has done the most shipments in 2017?
|
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' GROUP BY T2.first_name, T2.last_name ORDER BY COUNT(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"driver",
"that",
"has",
"done",
"the",
"most",
"shipments",
"in",
"2017",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 5,
"type": "column",
"value": "driver_id"
},
{
"id": 7,
"type": "column",
"value": "ship_date"
},
{
"id": 2,
"type": "table",
"value": "shipment"
},
{
"id": 3,
"type": "table",
"value": "driver"
},
{
"id": 4,
"type": "value",
"value": "2017"
},
{
"id": 6,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
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13
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
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15
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},
{
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{
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{
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},
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"entity_id": 10,
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},
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
13,158
|
shipping
|
bird:train.json:5590
|
What is the average weight of the goods being transported on a single shipment ordered by S K L Enterprises Inc?
|
SELECT AVG(T2.weight) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'S K L Enterprises Inc'
|
[
"What",
"is",
"the",
"average",
"weight",
"of",
"the",
"goods",
"being",
"transported",
"on",
"a",
"single",
"shipment",
"ordered",
"by",
"S",
"K",
"L",
"Enterprises",
"Inc",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "S K L Enterprises Inc"
},
{
"id": 2,
"type": "column",
"value": "cust_name"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 1,
"type": "table",
"value": "shipment"
},
{
"id": 5,
"type": "column",
"value": "cust_id"
},
{
"id": 4,
"type": "column",
"value": "weight"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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13
]
},
{
"entity_id": 2,
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},
{
"entity_id": 3,
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16,
17,
18,
19,
20
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},
{
"entity_id": 4,
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},
{
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},
{
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},
{
"entity_id": 8,
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},
{
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
13,159
|
talkingdata
|
bird:train.json:1228
|
What is the age and gender of the person who uses the device number 29182687948017100 on event number 1?
|
SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1
|
[
"What",
"is",
"the",
"age",
"and",
"gender",
"of",
"the",
"person",
"who",
"uses",
"the",
"device",
"number",
"29182687948017100",
"on",
"event",
"number",
"1",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "29182687948017100"
},
{
"id": 3,
"type": "table",
"value": "events_relevant"
},
{
"id": 2,
"type": "table",
"value": "gender_age"
},
{
"id": 4,
"type": "column",
"value": "device_id"
},
{
"id": 6,
"type": "column",
"value": "event_id"
},
{
"id": 1,
"type": "column",
"value": "gender"
},
{
"id": 0,
"type": "column",
"value": "age"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
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14
]
},
{
"entity_id": 6,
"token_idxs": [
16
]
},
{
"entity_id": 7,
"token_idxs": [
18
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
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