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2,999
|
college_2
|
spider:train_spider.json:1403
|
How many courses are provided in each semester and year?
|
SELECT count(*) , semester , YEAR FROM SECTION GROUP BY semester , YEAR
|
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
3,000
|
synthea
|
bird:train.json:1399
|
How many patients have the most prevalent conditions?
|
SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1
|
[
"How",
"many",
"patients",
"have",
"the",
"most",
"prevalent",
"conditions",
"?"
] |
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{
"id": 0,
"type": "table",
"value": "all_prevalences"
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{
"id": 2,
"type": "column",
"value": "PREVALENCE RATE"
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{
"id": 5,
"type": "column",
"value": "description"
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{
"id": 1,
"type": "table",
"value": "conditions"
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"id": 3,
"type": "column",
"value": "patient"
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{
"id": 4,
"type": "column",
"value": "item"
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"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
3,001
|
movie_platform
|
bird:train.json:20
|
What are the movie popularity of the movies released in 2021 that were directed by Steven Spielberg? List the names of the movies and their corresponding popularity.
|
SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'
|
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"popularity",
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"List",
"the",
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"of",
"the",
"movies",
"and",
"their",
"corresponding",
"popularity",
"."
] |
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{
"id": 3,
"type": "column",
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{
"id": 2,
"type": "column",
"value": "movie_popularity"
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{
"id": 6,
"type": "value",
"value": "Steven Spielberg"
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"id": 5,
"type": "column",
"value": "director_name"
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{
"id": 1,
"type": "column",
"value": "movie_title"
},
{
"id": 0,
"type": "table",
"value": "movies"
},
{
"id": 4,
"type": "value",
"value": "2021"
}
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"O",
"O",
"O",
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"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,002
|
entrepreneur
|
spider:train_spider.json:2301
|
Show the company of the tallest entrepreneur.
|
SELECT T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height DESC LIMIT 1
|
[
"Show",
"the",
"company",
"of",
"the",
"tallest",
"entrepreneur",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "entrepreneur"
},
{
"id": 4,
"type": "column",
"value": "people_id"
},
{
"id": 0,
"type": "column",
"value": "company"
},
{
"id": 2,
"type": "table",
"value": "people"
},
{
"id": 3,
"type": "column",
"value": "height"
}
] |
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] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,003
|
program_share
|
spider:train_spider.json:3755
|
Who are the owners of the programs that broadcast both in the morning and at night?
|
SELECT t1.owner FROM program AS t1 JOIN broadcast AS t2 ON t1.program_id = t2.program_id WHERE t2.Time_of_day = "Morning" INTERSECT SELECT t1.owner FROM program AS t1 JOIN broadcast AS t2 ON t1.program_id = t2.program_id WHERE t2.Time_of_day = "Night"
|
[
"Who",
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"the",
"programs",
"that",
"broadcast",
"both",
"in",
"the",
"morning",
"and",
"at",
"night",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "time_of_day"
},
{
"id": 6,
"type": "column",
"value": "program_id"
},
{
"id": 2,
"type": "table",
"value": "broadcast"
},
{
"id": 1,
"type": "table",
"value": "program"
},
{
"id": 4,
"type": "column",
"value": "Morning"
},
{
"id": 0,
"type": "column",
"value": "owner"
},
{
"id": 5,
"type": "column",
"value": "Night"
}
] |
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] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
3,004
|
music_1
|
spider:train_spider.json:3541
|
What is the name of the artist who produced the shortest song?
|
SELECT T1.artist_name FROM song AS T1 JOIN files AS T2 ON T1.f_id = T2.f_id ORDER BY T2.duration LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"artist",
"who",
"produced",
"the",
"shortest",
"song",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "artist_name"
},
{
"id": 3,
"type": "column",
"value": "duration"
},
{
"id": 2,
"type": "table",
"value": "files"
},
{
"id": 1,
"type": "table",
"value": "song"
},
{
"id": 4,
"type": "column",
"value": "f_id"
}
] |
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{
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{
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] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,005
|
election
|
spider:train_spider.json:2771
|
Find the parties associated with the delegates from district 1 or 2. Who served as comptrollers of the parties?
|
SELECT T2.Comptroller FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2
|
[
"Find",
"the",
"parties",
"associated",
"with",
"the",
"delegates",
"from",
"district",
"1",
"or",
"2",
".",
"Who",
"served",
"as",
"comptrollers",
"of",
"the",
"parties",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "comptroller"
},
{
"id": 1,
"type": "table",
"value": "election"
},
{
"id": 4,
"type": "column",
"value": "party_id"
},
{
"id": 5,
"type": "column",
"value": "district"
},
{
"id": 2,
"type": "table",
"value": "party"
},
{
"id": 3,
"type": "column",
"value": "party"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "2"
}
] |
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[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
3,007
|
music_1
|
spider:train_spider.json:3613
|
What are the names of the songs whose rating is below the rating of all songs in English?
|
SELECT song_name FROM song WHERE rating < (SELECT min(rating) FROM song WHERE languages = 'english')
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"songs",
"whose",
"rating",
"is",
"below",
"the",
"rating",
"of",
"all",
"songs",
"in",
"English",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "song_name"
},
{
"id": 3,
"type": "column",
"value": "languages"
},
{
"id": 4,
"type": "value",
"value": "english"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 0,
"type": "table",
"value": "song"
}
] |
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16
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8
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17
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[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O"
] |
3,008
|
student_club
|
bird:dev.json:1381
|
List the name of students that have attended more than 7 events.
|
SELECT T1.first_name, T1.last_name FROM member AS T1 INNER JOIN attendance AS T2 ON T1.member_id = T2.link_to_member GROUP BY T2.link_to_member HAVING COUNT(T2.link_to_event) > 7
|
[
"List",
"the",
"name",
"of",
"students",
"that",
"have",
"attended",
"more",
"than",
"7",
"events",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "link_to_member"
},
{
"id": 7,
"type": "column",
"value": "link_to_event"
},
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 4,
"type": "table",
"value": "attendance"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 6,
"type": "column",
"value": "member_id"
},
{
"id": 3,
"type": "table",
"value": "member"
},
{
"id": 5,
"type": "value",
"value": "7"
}
] |
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},
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{
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7
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{
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]
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{
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{
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{
"entity_id": 18,
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},
{
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"token_idxs": []
}
] |
[
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
3,009
|
soccer_2016
|
bird:train.json:1851
|
How many matches were held at the venue named "Newlands"?
|
SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id
|
[
"How",
"many",
"matches",
"were",
"held",
"at",
"the",
"venue",
"named",
"\"",
"Newlands",
"\"",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "venue_name"
},
{
"id": 2,
"type": "column",
"value": "venue_id"
},
{
"id": 6,
"type": "value",
"value": "Newlands"
},
{
"id": 0,
"type": "table",
"value": "match"
},
{
"id": 1,
"type": "table",
"value": "venue"
},
{
"id": 3,
"type": "value",
"value": "0"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
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{
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2
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7
]
},
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{
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},
{
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},
{
"entity_id": 5,
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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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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
3,010
|
citeseer
|
bird:train.json:4139
|
Among all the citation, what is the percentage of paper ID under the Agents classification?
|
SELECT CAST(COUNT(CASE WHEN class_label = 'Agents' THEN paper_id ELSE NULL END) AS REAL) * 100 / COUNT(paper_id) FROM paper
|
[
"Among",
"all",
"the",
"citation",
",",
"what",
"is",
"the",
"percentage",
"of",
"paper",
"ID",
"under",
"the",
"Agents",
"classification",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "class_label"
},
{
"id": 2,
"type": "column",
"value": "paper_id"
},
{
"id": 4,
"type": "value",
"value": "Agents"
},
{
"id": 0,
"type": "table",
"value": "paper"
},
{
"id": 1,
"type": "value",
"value": "100"
}
] |
[
{
"entity_id": 0,
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10
]
},
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]
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},
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"entity_id": 13,
"token_idxs": []
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"token_idxs": []
},
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"entity_id": 15,
"token_idxs": []
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"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
3,011
|
shooting
|
bird:train.json:2473
|
What is the percentage of subject who are female used the Vehicle as weapon?
|
SELECT CAST(SUM(T1.subject_weapon = 'Vehicle') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN subjects T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'
|
[
"What",
"is",
"the",
"percentage",
"of",
"subject",
"who",
"are",
"female",
"used",
"the",
"Vehicle",
"as",
"weapon",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "subject_weapon"
},
{
"id": 4,
"type": "column",
"value": "case_number"
},
{
"id": 0,
"type": "table",
"value": "incidents"
},
{
"id": 1,
"type": "table",
"value": "subjects"
},
{
"id": 7,
"type": "value",
"value": "Vehicle"
},
{
"id": 2,
"type": "column",
"value": "gender"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 3,
"type": "value",
"value": "F"
}
] |
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},
{
"entity_id": 18,
"token_idxs": []
},
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"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
3,012
|
gas_company
|
spider:train_spider.json:2036
|
What is the rank, company, and market value of every comapny in the banking industry ordered by sales and profits?
|
SELECT rank , company , market_value FROM company WHERE main_industry = 'Banking' ORDER BY sales_billion , profits_billion
|
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"the",
"rank",
",",
"company",
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"in",
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"banking",
"industry",
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"by",
"sales",
"and",
"profits",
"?"
] |
[
{
"id": 7,
"type": "column",
"value": "profits_billion"
},
{
"id": 4,
"type": "column",
"value": "main_industry"
},
{
"id": 6,
"type": "column",
"value": "sales_billion"
},
{
"id": 3,
"type": "column",
"value": "market_value"
},
{
"id": 0,
"type": "table",
"value": "company"
},
{
"id": 2,
"type": "column",
"value": "company"
},
{
"id": 5,
"type": "value",
"value": "Banking"
},
{
"id": 1,
"type": "column",
"value": "rank"
}
] |
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{
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] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
3,013
|
mental_health_survey
|
bird:train.json:4592
|
How many users answered "Yes" to the question "Have you had a mental health disorder in the past?" in 3 consecutive years starting from 2016?
|
SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID IN (2016, 2017, 2018) AND T1.questiontext LIKE 'Have you had a mental health disorder in the past?' AND T2.AnswerText = 'Yes'
|
[
"How",
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"to",
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"question",
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"?",
"\"",
"in",
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"consecutive",
"years",
"starting",
"from",
"2016",
"?"
] |
[
{
"id": 9,
"type": "value",
"value": "Have you had a mental health disorder in the past?"
},
{
"id": 8,
"type": "column",
"value": "questiontext"
},
{
"id": 3,
"type": "column",
"value": "questionid"
},
{
"id": 10,
"type": "column",
"value": "answertext"
},
{
"id": 0,
"type": "table",
"value": "question"
},
{
"id": 4,
"type": "column",
"value": "surveyid"
},
{
"id": 1,
"type": "table",
"value": "answer"
},
{
"id": 2,
"type": "column",
"value": "userid"
},
{
"id": 5,
"type": "value",
"value": "2016"
},
{
"id": 6,
"type": "value",
"value": "2017"
},
{
"id": 7,
"type": "value",
"value": "2018"
},
{
"id": 11,
"type": "value",
"value": "Yes"
}
] |
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},
{
"entity_id": 18,
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},
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}
] |
[
"O",
"O",
"B-COLUMN",
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"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
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"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
3,014
|
financial
|
bird:dev.json:97
|
List out the id number of client who choose statement of issuance after transaction are Disponent?
|
SELECT T2.client_id FROM account AS T1 INNER JOIN disp AS T2 ON T1.account_id = T2.account_id WHERE T1.frequency = 'POPLATEK PO OBRATU' AND T2.type = 'DISPONENT'
|
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"number",
"of",
"client",
"who",
"choose",
"statement",
"of",
"issuance",
"after",
"transaction",
"are",
"Disponent",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "POPLATEK PO OBRATU"
},
{
"id": 3,
"type": "column",
"value": "account_id"
},
{
"id": 0,
"type": "column",
"value": "client_id"
},
{
"id": 4,
"type": "column",
"value": "frequency"
},
{
"id": 7,
"type": "value",
"value": "DISPONENT"
},
{
"id": 1,
"type": "table",
"value": "account"
},
{
"id": 2,
"type": "table",
"value": "disp"
},
{
"id": 6,
"type": "column",
"value": "type"
}
] |
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{
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7
]
},
{
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1
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},
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16
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},
{
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{
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},
{
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},
{
"entity_id": 6,
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},
{
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},
{
"entity_id": 8,
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},
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"entity_id": 9,
"token_idxs": []
},
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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,
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
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}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,015
|
flight_4
|
spider:train_spider.json:6803
|
Find the name of the airport in the city of Goroka.
|
SELECT name FROM airports WHERE city = 'Goroka'
|
[
"Find",
"the",
"name",
"of",
"the",
"airport",
"in",
"the",
"city",
"of",
"Goroka",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "airports"
},
{
"id": 3,
"type": "value",
"value": "Goroka"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "city"
}
] |
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8
]
},
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"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
3,016
|
soccer_2016
|
bird:train.json:1922
|
List the name of all New Zealand umpires.
|
SELECT T1.Umpire_Name FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'New Zealand'
|
[
"List",
"the",
"name",
"of",
"all",
"New",
"Zealand",
"umpires",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "umpire_country"
},
{
"id": 3,
"type": "column",
"value": "country_name"
},
{
"id": 0,
"type": "column",
"value": "umpire_name"
},
{
"id": 4,
"type": "value",
"value": "New Zealand"
},
{
"id": 6,
"type": "column",
"value": "country_id"
},
{
"id": 2,
"type": "table",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "umpire"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5,
6
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
3,017
|
cre_Doc_Workflow
|
bird:test.json:2022
|
Who is the author of the document with id 4?
|
SELECT author_name FROM Documents WHERE document_id = 4
|
[
"Who",
"is",
"the",
"author",
"of",
"the",
"document",
"with",
"i",
"d",
"4",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "author_name"
},
{
"id": 2,
"type": "column",
"value": "document_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 3,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
3,018
|
tracking_share_transactions
|
spider:train_spider.json:5873
|
Show the number of transactions with transaction type code "SALE" for different investors if it is larger than 0.
|
SELECT investor_id , COUNT(*) FROM TRANSACTIONS WHERE transaction_type_code = "SALE" GROUP BY investor_id
|
[
"Show",
"the",
"number",
"of",
"transactions",
"with",
"transaction",
"type",
"code",
"\"",
"SALE",
"\"",
"for",
"different",
"investors",
"if",
"it",
"is",
"larger",
"than",
"0",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "transaction_type_code"
},
{
"id": 0,
"type": "table",
"value": "transactions"
},
{
"id": 1,
"type": "column",
"value": "investor_id"
},
{
"id": 3,
"type": "column",
"value": "SALE"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,019
|
college_2
|
spider:train_spider.json:1339
|
Count the number of departments which offer courses.
|
SELECT count(DISTINCT dept_name) FROM course
|
[
"Count",
"the",
"number",
"of",
"departments",
"which",
"offer",
"courses",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "dept_name"
},
{
"id": 0,
"type": "table",
"value": "course"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
3,020
|
game_1
|
spider:train_spider.json:6039
|
Show all game ids and the number of hours played.
|
SELECT gameid , sum(hours_played) FROM Plays_games GROUP BY gameid
|
[
"Show",
"all",
"game",
"ids",
"and",
"the",
"number",
"of",
"hours",
"played",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "hours_played"
},
{
"id": 0,
"type": "table",
"value": "plays_games"
},
{
"id": 1,
"type": "column",
"value": "gameid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"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",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
3,021
|
scientist_1
|
spider:train_spider.json:6496
|
What are the naems of all the projects, and how many scientists were assigned to each of them?
|
SELECT count(*) , T1.name FROM projects AS T1 JOIN assignedto AS T2 ON T1.code = T2.project GROUP BY T1.name
|
[
"What",
"are",
"the",
"naems",
"of",
"all",
"the",
"projects",
",",
"and",
"how",
"many",
"scientists",
"were",
"assigned",
"to",
"each",
"of",
"them",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "assignedto"
},
{
"id": 1,
"type": "table",
"value": "projects"
},
{
"id": 4,
"type": "column",
"value": "project"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
14,
15
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O"
] |
3,022
|
tracking_software_problems
|
spider:train_spider.json:5387
|
For which product was there a problem reported by Christop Berge, with closure authorised by Ashley Medhurst? Return the product ids.
|
SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley" AND T2.staff_last_name = "Medhurst"
|
[
"For",
"which",
"product",
"was",
"there",
"a",
"problem",
"reported",
"by",
"Christop",
"Berge",
",",
"with",
"closure",
"authorised",
"by",
"Ashley",
"Medhurst",
"?",
"Return",
"the",
"product",
"ids",
"."
] |
[
{
"id": 9,
"type": "column",
"value": "closure_authorised_by_staff_id"
},
{
"id": 3,
"type": "column",
"value": "reported_by_staff_id"
},
{
"id": 5,
"type": "column",
"value": "staff_first_name"
},
{
"id": 7,
"type": "column",
"value": "staff_last_name"
},
{
"id": 0,
"type": "column",
"value": "product_id"
},
{
"id": 1,
"type": "table",
"value": "problems"
},
{
"id": 4,
"type": "column",
"value": "staff_id"
},
{
"id": 6,
"type": "column",
"value": "Christop"
},
{
"id": 11,
"type": "column",
"value": "Medhurst"
},
{
"id": 10,
"type": "column",
"value": "Ashley"
},
{
"id": 2,
"type": "table",
"value": "staff"
},
{
"id": 8,
"type": "column",
"value": "Berge"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
21,
22
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"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": [
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
10
]
},
{
"entity_id": 9,
"token_idxs": [
13,
14,
15
]
},
{
"entity_id": 10,
"token_idxs": [
16
]
},
{
"entity_id": 11,
"token_idxs": [
17
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
3,023
|
movielens
|
bird:train.json:2342
|
Among the English comedy movies produced in the UK, how many movies with a running time of 3 was rated the highest by users between the age 45-50? Indicate the movie names.
|
SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN u2base AS T3 ON T1.movieid = T3.movieid INNER JOIN users AS T4 ON T3.userid = T4.userid WHERE T1.country = 'UK' AND T2.genre = 'Comedy' AND T1.runningtime = 3 AND T3.rating = 5 AND T4.age BETWEEN 45 AND 50 AND T1.isEnglish = 'T'
|
[
"Among",
"the",
"English",
"comedy",
"movies",
"produced",
"in",
"the",
"UK",
",",
"how",
"many",
"movies",
"with",
"a",
"running",
"time",
"of",
"3",
"was",
"rated",
"the",
"highest",
"by",
"users",
"between",
"the",
"age",
"45",
"-",
"50",
"?",
"Indicate",
"the",
"movie",
"names",
"."
] |
[
{
"id": 18,
"type": "table",
"value": "movies2directors"
},
{
"id": 8,
"type": "column",
"value": "runningtime"
},
{
"id": 15,
"type": "column",
"value": "isenglish"
},
{
"id": 0,
"type": "column",
"value": "movieid"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "table",
"value": "u2base"
},
{
"id": 3,
"type": "column",
"value": "userid"
},
{
"id": 7,
"type": "value",
"value": "Comedy"
},
{
"id": 10,
"type": "column",
"value": "rating"
},
{
"id": 17,
"type": "table",
"value": "movies"
},
{
"id": 1,
"type": "table",
"value": "users"
},
{
"id": 6,
"type": "column",
"value": "genre"
},
{
"id": 12,
"type": "column",
"value": "age"
},
{
"id": 5,
"type": "value",
"value": "UK"
},
{
"id": 13,
"type": "value",
"value": "45"
},
{
"id": 14,
"type": "value",
"value": "50"
},
{
"id": 9,
"type": "value",
"value": "3"
},
{
"id": 11,
"type": "value",
"value": "5"
},
{
"id": 16,
"type": "value",
"value": "T"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
34
]
},
{
"entity_id": 1,
"token_idxs": [
24
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
3
]
},
{
"entity_id": 8,
"token_idxs": [
16
]
},
{
"entity_id": 9,
"token_idxs": [
18
]
},
{
"entity_id": 10,
"token_idxs": [
15
]
},
{
"entity_id": 11,
"token_idxs": [
28
]
},
{
"entity_id": 12,
"token_idxs": [
27
]
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": [
30
]
},
{
"entity_id": 15,
"token_idxs": [
2
]
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": [
12
]
},
{
"entity_id": 18,
"token_idxs": [
13
]
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
3,024
|
video_game
|
bird:test.json:1957
|
Please list the title of games with platforms that have market district in Asia or USA.
|
SELECT T1.Title FROM game AS T1 JOIN platform AS T2 ON T1.Platform_ID = T2.Platform_ID WHERE T2.Market_district = "Asia" OR T2.Market_district = "USA"
|
[
"Please",
"list",
"the",
"title",
"of",
"games",
"with",
"platforms",
"that",
"have",
"market",
"district",
"in",
"Asia",
"or",
"USA",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "market_district"
},
{
"id": 3,
"type": "column",
"value": "platform_id"
},
{
"id": 2,
"type": "table",
"value": "platform"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 1,
"type": "table",
"value": "game"
},
{
"id": 5,
"type": "column",
"value": "Asia"
},
{
"id": 6,
"type": "column",
"value": "USA"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11
]
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
3,025
|
store_1
|
spider:train_spider.json:634
|
What are the names of the tracks that are Rock or Jazz songs?
|
SELECT T2.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id WHERE T1.name = "Rock" OR T1.name = "Jazz"
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"tracks",
"that",
"are",
"Rock",
"or",
"Jazz",
"songs",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "genre_id"
},
{
"id": 1,
"type": "table",
"value": "genres"
},
{
"id": 2,
"type": "table",
"value": "tracks"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "Rock"
},
{
"id": 6,
"type": "column",
"value": "Jazz"
},
{
"id": 3,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
9
]
},
{
"entity_id": 6,
"token_idxs": [
11
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O"
] |
3,026
|
mondial_geo
|
bird:train.json:8247
|
Please list the capital cities of the countries with an inflation rate under 2.
|
SELECT T1.Capital FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Inflation < 2
|
[
"Please",
"list",
"the",
"capital",
"cities",
"of",
"the",
"countries",
"with",
"an",
"inflation",
"rate",
"under",
"2",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "inflation"
},
{
"id": 0,
"type": "column",
"value": "capital"
},
{
"id": 1,
"type": "table",
"value": "country"
},
{
"id": 2,
"type": "table",
"value": "economy"
},
{
"id": 6,
"type": "column",
"value": "country"
},
{
"id": 5,
"type": "column",
"value": "code"
},
{
"id": 4,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
3,027
|
coinmarketcap
|
bird:train.json:6260
|
Name the coin and date of transactions with the greatest decline in percent change in 1 hour.
|
SELECT T1.name, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_1h = ( SELECT MIN(percent_change_1h) FROM historical )
|
[
"Name",
"the",
"coin",
"and",
"date",
"of",
"transactions",
"with",
"the",
"greatest",
"decline",
"in",
"percent",
"change",
"in",
"1",
"hour",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "percent_change_1h"
},
{
"id": 3,
"type": "table",
"value": "historical"
},
{
"id": 6,
"type": "column",
"value": "coin_id"
},
{
"id": 2,
"type": "table",
"value": "coins"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
0
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
12,
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
3,028
|
toxicology
|
bird:dev.json:255
|
What proportion of single bonds are carcinogenic? Please provide your answer as a percentage with five decimal places.
|
SELECT ROUND(CAST(COUNT(CASE WHEN T2.label = '+' THEN T1.bond_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.bond_id),5) FROM bond AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.bond_type = '-'
|
[
"What",
"proportion",
"of",
"single",
"bonds",
"are",
"carcinogenic",
"?",
"Please",
"provide",
"your",
"answer",
"as",
"a",
"percentage",
"with",
"five",
"decimal",
"places",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "molecule_id"
},
{
"id": 2,
"type": "column",
"value": "bond_type"
},
{
"id": 1,
"type": "table",
"value": "molecule"
},
{
"id": 7,
"type": "column",
"value": "bond_id"
},
{
"id": 8,
"type": "column",
"value": "label"
},
{
"id": 0,
"type": "table",
"value": "bond"
},
{
"id": 6,
"type": "value",
"value": "100"
},
{
"id": 3,
"type": "value",
"value": "-"
},
{
"id": 4,
"type": "value",
"value": "5"
},
{
"id": 9,
"type": "value",
"value": "+"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,029
|
works_cycles
|
bird:train.json:7107
|
What is the name of the supplier number 1492?
|
SELECT NAME FROM Vendor WHERE BusinessEntityID = 1492
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"supplier",
"number",
"1492",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "businessentityid"
},
{
"id": 0,
"type": "table",
"value": "vendor"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "1492"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
3,030
|
cre_Drama_Workshop_Groups
|
spider:train_spider.json:5168
|
What is the product ID of the most frequently ordered item on invoices?
|
SELECT Product_ID FROM INVOICES GROUP BY Product_ID ORDER BY COUNT(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"product",
"ID",
"of",
"the",
"most",
"frequently",
"ordered",
"item",
"on",
"invoices",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "product_id"
},
{
"id": 0,
"type": "table",
"value": "invoices"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,031
|
tracking_grants_for_research
|
spider:train_spider.json:4372
|
What are all the details of the organisations described as 'Sponsor'? Sort the result in an ascending order.
|
SELECT organisation_details FROM Organisations AS T1 JOIN organisation_Types AS T2 ON T1.organisation_type = T2.organisation_type WHERE T2.organisation_type_description = 'Sponsor' ORDER BY organisation_details
|
[
"What",
"are",
"all",
"the",
"details",
"of",
"the",
"organisations",
"described",
"as",
"'",
"Sponsor",
"'",
"?",
"Sort",
"the",
"result",
"in",
"an",
"ascending",
"order",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "organisation_type_description"
},
{
"id": 0,
"type": "column",
"value": "organisation_details"
},
{
"id": 2,
"type": "table",
"value": "organisation_types"
},
{
"id": 5,
"type": "column",
"value": "organisation_type"
},
{
"id": 1,
"type": "table",
"value": "organisations"
},
{
"id": 4,
"type": "value",
"value": "Sponsor"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
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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",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,032
|
address_1
|
bird:test.json:802
|
What are the names of cities with at least three students?
|
SELECT T1.city_name FROM City AS T1 JOIN Student AS T2 ON T1.city_code = T2.city_code GROUP BY T1.city_code HAVING count(*) >= 3
|
[
"What",
"are",
"the",
"names",
"of",
"cities",
"with",
"at",
"least",
"three",
"students",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "city_code"
},
{
"id": 1,
"type": "column",
"value": "city_name"
},
{
"id": 3,
"type": "table",
"value": "student"
},
{
"id": 2,
"type": "table",
"value": "city"
},
{
"id": 4,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,033
|
ice_hockey_draft
|
bird:train.json:6934
|
What is the weight in kilograms of the player with the highest number of goal differential of all time?
|
SELECT T3.weight_in_kg FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN weight_info AS T3 ON T2.weight = T3.weight_id ORDER BY T1.PLUSMINUS DESC LIMIT 1
|
[
"What",
"is",
"the",
"weight",
"in",
"kilograms",
"of",
"the",
"player",
"with",
"the",
"highest",
"number",
"of",
"goal",
"differential",
"of",
"all",
"time",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "weight_in_kg"
},
{
"id": 3,
"type": "table",
"value": "seasonstatus"
},
{
"id": 1,
"type": "table",
"value": "weight_info"
},
{
"id": 4,
"type": "table",
"value": "playerinfo"
},
{
"id": 2,
"type": "column",
"value": "plusminus"
},
{
"id": 6,
"type": "column",
"value": "weight_id"
},
{
"id": 7,
"type": "column",
"value": "eliteid"
},
{
"id": 5,
"type": "column",
"value": "weight"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
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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-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,034
|
sakila_1
|
spider:train_spider.json:2996
|
What is the full name of the staff member who has rented a film to a customer with the first name April and the last name Burns?
|
SELECT DISTINCT T1.first_name , T1.last_name FROM staff AS T1 JOIN rental AS T2 ON T1.staff_id = T2.staff_id JOIN customer AS T3 ON T2.customer_id = T3.customer_id WHERE T3.first_name = 'APRIL' AND T3.last_name = 'BURNS'
|
[
"What",
"is",
"the",
"full",
"name",
"of",
"the",
"staff",
"member",
"who",
"has",
"rented",
"a",
"film",
"to",
"a",
"customer",
"with",
"the",
"first",
"name",
"April",
"and",
"the",
"last",
"name",
"Burns",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 2,
"type": "table",
"value": "customer"
},
{
"id": 8,
"type": "column",
"value": "staff_id"
},
{
"id": 4,
"type": "table",
"value": "rental"
},
{
"id": 3,
"type": "table",
"value": "staff"
},
{
"id": 6,
"type": "value",
"value": "APRIL"
},
{
"id": 7,
"type": "value",
"value": "BURNS"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
19,
20
]
},
{
"entity_id": 1,
"token_idxs": [
24,
25
]
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
11,
12
]
},
{
"entity_id": 5,
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},
{
"entity_id": 6,
"token_idxs": [
21
]
},
{
"entity_id": 7,
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26
]
},
{
"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",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
3,035
|
movie_3
|
bird:train.json:9272
|
What is the title of the films in which Cuba Allen acted?
|
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Cuba' AND T1.last_name = 'Allen'
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"films",
"in",
"which",
"Cuba",
"Allen",
"acted",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "film_actor"
},
{
"id": 5,
"type": "column",
"value": "first_name"
},
{
"id": 7,
"type": "column",
"value": "last_name"
},
{
"id": 9,
"type": "column",
"value": "actor_id"
},
{
"id": 4,
"type": "column",
"value": "film_id"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "table",
"value": "actor"
},
{
"id": 8,
"type": "value",
"value": "Allen"
},
{
"id": 1,
"type": "table",
"value": "film"
},
{
"id": 6,
"type": "value",
"value": "Cuba"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
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11
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
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},
{
"entity_id": 8,
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10
]
},
{
"entity_id": 9,
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},
{
"entity_id": 10,
"token_idxs": []
},
{
"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",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"B-VALUE",
"B-TABLE",
"O"
] |
3,036
|
college_2
|
spider:train_spider.json:1437
|
What is the title of the course that is a prerequisite for Mobile Computing?
|
SELECT title FROM course WHERE course_id IN (SELECT T1.prereq_id FROM prereq AS T1 JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.title = 'Mobile Computing')
|
[
"What",
"is",
"the",
"title",
"of",
"the",
"course",
"that",
"is",
"a",
"prerequisite",
"for",
"Mobile",
"Computing",
"?"
] |
[
{
"id": 5,
"type": "value",
"value": "Mobile Computing"
},
{
"id": 2,
"type": "column",
"value": "course_id"
},
{
"id": 3,
"type": "column",
"value": "prereq_id"
},
{
"id": 0,
"type": "table",
"value": "course"
},
{
"id": 4,
"type": "table",
"value": "prereq"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
12,
13
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
3,037
|
icfp_1
|
spider:train_spider.json:2896
|
Find the titles of papers whose first author is affiliated with an institution in the country "Japan" and has last name "Ohori"?
|
SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid JOIN inst AS t4 ON t2.instid = t4.instid WHERE t4.country = "Japan" AND t2.authorder = 1 AND t1.lname = "Ohori"
|
[
"Find",
"the",
"titles",
"of",
"papers",
"whose",
"first",
"author",
"is",
"affiliated",
"with",
"an",
"institution",
"in",
"the",
"country",
"\"",
"Japan",
"\"",
"and",
"has",
"last",
"name",
"\"",
"Ohori",
"\"",
"?"
] |
[
{
"id": 11,
"type": "table",
"value": "authorship"
},
{
"id": 6,
"type": "column",
"value": "authorder"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 10,
"type": "table",
"value": "authors"
},
{
"id": 12,
"type": "column",
"value": "paperid"
},
{
"id": 2,
"type": "table",
"value": "papers"
},
{
"id": 3,
"type": "column",
"value": "instid"
},
{
"id": 13,
"type": "column",
"value": "authid"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 5,
"type": "column",
"value": "Japan"
},
{
"id": 8,
"type": "column",
"value": "lname"
},
{
"id": 9,
"type": "column",
"value": "Ohori"
},
{
"id": 1,
"type": "table",
"value": "inst"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
13
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
0
]
},
{
"entity_id": 4,
"token_idxs": [
15
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},
{
"entity_id": 5,
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17
]
},
{
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},
{
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},
{
"entity_id": 8,
"token_idxs": [
22
]
},
{
"entity_id": 9,
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24
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},
{
"entity_id": 10,
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},
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"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": [
7,
8
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},
{
"entity_id": 14,
"token_idxs": []
},
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"entity_id": 15,
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},
{
"entity_id": 16,
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},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O"
] |
3,038
|
movie_3
|
bird:train.json:9320
|
Which actor acted in the most films?
|
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, SUM(T1.film_id) AS num FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1
|
[
"Which",
"actor",
"acted",
"in",
"the",
"most",
"films",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 3,
"type": "table",
"value": "film_actor"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 6,
"type": "column",
"value": "actor_id"
},
{
"id": 5,
"type": "column",
"value": "film_id"
},
{
"id": 4,
"type": "table",
"value": "actor"
},
{
"id": 2,
"type": "column",
"value": "num"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
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},
{
"entity_id": 3,
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},
{
"entity_id": 4,
"token_idxs": [
1
]
},
{
"entity_id": 5,
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6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
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},
{
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},
{
"entity_id": 9,
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},
{
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
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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",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
3,039
|
public_review_platform
|
bird:train.json:4130
|
Count the active businesses that has an attribute of BYOB with high review count.
|
SELECT COUNT(DISTINCT T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name = 'BYOB' AND T1.review_count = 'High' AND T1.active = 'true'
|
[
"Count",
"the",
"active",
"businesses",
"that",
"has",
"an",
"attribute",
"of",
"BYOB",
"with",
"high",
"review",
"count",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "business_attributes"
},
{
"id": 5,
"type": "column",
"value": "attribute_name"
},
{
"id": 4,
"type": "column",
"value": "attribute_id"
},
{
"id": 7,
"type": "column",
"value": "review_count"
},
{
"id": 1,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "table",
"value": "attributes"
},
{
"id": 2,
"type": "table",
"value": "business"
},
{
"id": 9,
"type": "column",
"value": "active"
},
{
"id": 6,
"type": "value",
"value": "BYOB"
},
{
"id": 8,
"type": "value",
"value": "High"
},
{
"id": 10,
"type": "value",
"value": "true"
}
] |
[
{
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"token_idxs": []
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"token_idxs": []
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"B-VALUE",
"B-COLUMN",
"I-COLUMN",
"O"
] |
3,040
|
ship_1
|
spider:train_spider.json:6263
|
What is the name of the ship that is commanded by the youngest captain?
|
SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id ORDER BY t2.age LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"ship",
"that",
"is",
"commanded",
"by",
"the",
"youngest",
"captain",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "captain"
},
{
"id": 4,
"type": "column",
"value": "ship_id"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
"type": "table",
"value": "ship"
},
{
"id": 3,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
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6
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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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"token_idxs": []
},
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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-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,041
|
book_1
|
bird:test.json:551
|
Show the client names and their total amounts of books ordered.
|
SELECT T2.name , sum(T3.amount) FROM Orders AS T1 JOIN Client AS T2 ON T1.idClient = T2.idClient JOIN Books_Order AS T3 ON T3.idOrder = T1.idOrder GROUP BY T1.idClient
|
[
"Show",
"the",
"client",
"names",
"and",
"their",
"total",
"amounts",
"of",
"books",
"ordered",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "books_order"
},
{
"id": 0,
"type": "column",
"value": "idclient"
},
{
"id": 6,
"type": "column",
"value": "idorder"
},
{
"id": 3,
"type": "column",
"value": "amount"
},
{
"id": 4,
"type": "table",
"value": "orders"
},
{
"id": 5,
"type": "table",
"value": "client"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
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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",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-TABLE",
"O"
] |
3,042
|
donor
|
bird:train.json:3220
|
Which city does the school that project "iMath" donated to in?
|
SELECT T1.school_city FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'iMath'
|
[
"Which",
"city",
"does",
"the",
"school",
"that",
"project",
"\"",
"iMath",
"\"",
"donated",
"to",
"in",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "school_city"
},
{
"id": 5,
"type": "column",
"value": "projectid"
},
{
"id": 1,
"type": "table",
"value": "projects"
},
{
"id": 2,
"type": "table",
"value": "essays"
},
{
"id": 3,
"type": "column",
"value": "title"
},
{
"id": 4,
"type": "value",
"value": "iMath"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
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6
]
},
{
"entity_id": 2,
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},
{
"entity_id": 3,
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},
{
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8
]
},
{
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},
{
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},
{
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O"
] |
3,043
|
talkingdata
|
bird:train.json:1217
|
Please list any three events that happened on the 1st of May 2016 that have the same latitude of 31.
|
SELECT event_id FROM events WHERE timestamp LIKE '2016-05-01%' AND latitude = 31 LIMIT 3
|
[
"Please",
"list",
"any",
"three",
"events",
"that",
"happened",
"on",
"the",
"1st",
"of",
"May",
"2016",
"that",
"have",
"the",
"same",
"latitude",
"of",
"31",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "2016-05-01%"
},
{
"id": 2,
"type": "column",
"value": "timestamp"
},
{
"id": 1,
"type": "column",
"value": "event_id"
},
{
"id": 4,
"type": "column",
"value": "latitude"
},
{
"id": 0,
"type": "table",
"value": "events"
},
{
"id": 5,
"type": "value",
"value": "31"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
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},
{
"entity_id": 2,
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15,
16
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},
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},
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"entity_id": 13,
"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",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
3,045
|
election
|
spider:train_spider.json:2770
|
Who were the comptrollers of the parties associated with the delegates from district 1 or district 2?
|
SELECT T2.Comptroller FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2
|
[
"Who",
"were",
"the",
"comptrollers",
"of",
"the",
"parties",
"associated",
"with",
"the",
"delegates",
"from",
"district",
"1",
"or",
"district",
"2",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "comptroller"
},
{
"id": 1,
"type": "table",
"value": "election"
},
{
"id": 4,
"type": "column",
"value": "party_id"
},
{
"id": 5,
"type": "column",
"value": "district"
},
{
"id": 2,
"type": "table",
"value": "party"
},
{
"id": 3,
"type": "column",
"value": "party"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "2"
}
] |
[
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3
]
},
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{
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{
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},
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},
{
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"entity_id": 14,
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"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
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{
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"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
3,046
|
retails
|
bird:train.json:6827
|
What is the total price of all orders from the customer with the phone number "627-220-3983"?
|
SELECT SUM(T1.o_totalprice) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_phone = '627-220-3983'
|
[
"What",
"is",
"the",
"total",
"price",
"of",
"all",
"orders",
"from",
"the",
"customer",
"with",
"the",
"phone",
"number",
"\"",
"627",
"-",
"220",
"-",
"3983",
"\"",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "627-220-3983"
},
{
"id": 4,
"type": "column",
"value": "o_totalprice"
},
{
"id": 5,
"type": "column",
"value": "o_custkey"
},
{
"id": 6,
"type": "column",
"value": "c_custkey"
},
{
"id": 1,
"type": "table",
"value": "customer"
},
{
"id": 2,
"type": "column",
"value": "c_phone"
},
{
"id": 0,
"type": "table",
"value": "orders"
}
] |
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{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
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10
]
},
{
"entity_id": 2,
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13
]
},
{
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"token_idxs": [
16,
17,
18,
19,
20
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},
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3,
4
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},
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{
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{
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"entity_id": 12,
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"entity_id": 13,
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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",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
3,047
|
network_2
|
spider:train_spider.json:4454
|
Find the name of persons who are friends with Bob.
|
SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Bob'
|
[
"Find",
"the",
"name",
"of",
"persons",
"who",
"are",
"friends",
"with",
"Bob",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "personfriend"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "column",
"value": "friend"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "Bob"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
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5,
6
]
},
{
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},
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
3,048
|
retail_world
|
bird:train.json:6345
|
What is the total production of the products from the supplier “Escargots Nouveaux”?
|
SELECT SUM(T1.UnitsInStock + T1.UnitsOnOrder) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Escargots Nouveaux'
|
[
"What",
"is",
"the",
"total",
"production",
"of",
"the",
"products",
"from",
"the",
"supplier",
"“",
"Escargots",
"Nouveaux",
"”",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Escargots Nouveaux"
},
{
"id": 5,
"type": "column",
"value": "unitsinstock"
},
{
"id": 6,
"type": "column",
"value": "unitsonorder"
},
{
"id": 2,
"type": "column",
"value": "companyname"
},
{
"id": 4,
"type": "column",
"value": "supplierid"
},
{
"id": 1,
"type": "table",
"value": "suppliers"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12,
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
3,049
|
scientist_1
|
spider:train_spider.json:6476
|
How many different projects are there?
|
SELECT count(DISTINCT name) FROM projects
|
[
"How",
"many",
"different",
"projects",
"are",
"there",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "projects"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"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-TABLE",
"O",
"O",
"O"
] |
3,050
|
baseball_1
|
spider:train_spider.json:3648
|
Find the first name, last name and id for the top three players won the most player awards.
|
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;
|
[
"Find",
"the",
"first",
"name",
",",
"last",
"name",
"and",
"i",
"d",
"for",
"the",
"top",
"three",
"players",
"won",
"the",
"most",
"player",
"awards",
"."
] |
[
{
"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": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 3,
"token_idxs": [
18
]
},
{
"entity_id": 4,
"token_idxs": [
19
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O"
] |
3,051
|
superstore
|
bird:train.json:2391
|
Provide the names of the products with a profit greater than 98% of the average profit of all products in the East region.
|
SELECT DISTINCT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'East' AND T1.Profit > ( SELECT AVG(Profit) * 0.98 FROM east_superstore )
|
[
"Provide",
"the",
"names",
"of",
"the",
"products",
"with",
"a",
"profit",
"greater",
"than",
"98",
"%",
"of",
"the",
"average",
"profit",
"of",
"all",
"products",
"in",
"the",
"East",
"region",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "east_superstore"
},
{
"id": 0,
"type": "column",
"value": "Product Name"
},
{
"id": 3,
"type": "column",
"value": "Product ID"
},
{
"id": 2,
"type": "table",
"value": "product"
},
{
"id": 4,
"type": "column",
"value": "region"
},
{
"id": 6,
"type": "column",
"value": "profit"
},
{
"id": 5,
"type": "value",
"value": "East"
},
{
"id": 7,
"type": "value",
"value": "0.98"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
19,
20
]
},
{
"entity_id": 4,
"token_idxs": [
23
]
},
{
"entity_id": 5,
"token_idxs": [
22
]
},
{
"entity_id": 6,
"token_idxs": [
8
]
},
{
"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",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
3,052
|
student_1
|
spider:train_spider.json:4036
|
For each classroom report the grade that is taught in it. Report just the classroom number and the grade number.
|
SELECT DISTINCT classroom , grade FROM list
|
[
"For",
"each",
"classroom",
"report",
"the",
"grade",
"that",
"is",
"taught",
"in",
"it",
".",
"Report",
"just",
"the",
"classroom",
"number",
"and",
"the",
"grade",
"number",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "classroom"
},
{
"id": 2,
"type": "column",
"value": "grade"
},
{
"id": 0,
"type": "table",
"value": "list"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
19
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
3,053
|
soccer_2016
|
bird:train.json:1954
|
What is the name of the team that won the first ever match?
|
SELECT T1.Team_Name FROM team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Season_Id = 1 ORDER BY T2.Match_Date LIMIT 1
|
[
"What",
"is",
"the",
"name",
"of",
"the",
"team",
"that",
"won",
"the",
"first",
"ever",
"match",
"?"
] |
[
{
"id": 7,
"type": "column",
"value": "match_winner"
},
{
"id": 5,
"type": "column",
"value": "match_date"
},
{
"id": 0,
"type": "column",
"value": "team_name"
},
{
"id": 3,
"type": "column",
"value": "season_id"
},
{
"id": 6,
"type": "column",
"value": "team_id"
},
{
"id": 2,
"type": "table",
"value": "match"
},
{
"id": 1,
"type": "table",
"value": "team"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"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",
"B-TABLE",
"O"
] |
3,054
|
retail_world
|
bird:train.json:6321
|
Please list the IDs of the orders with a product whose production is not continuous.
|
SELECT T2.OrderID FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Discontinued = 1
|
[
"Please",
"list",
"the",
"IDs",
"of",
"the",
"orders",
"with",
"a",
"product",
"whose",
"production",
"is",
"not",
"continuous",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "Order Details"
},
{
"id": 3,
"type": "column",
"value": "discontinued"
},
{
"id": 5,
"type": "column",
"value": "productid"
},
{
"id": 1,
"type": "table",
"value": "products"
},
{
"id": 0,
"type": "column",
"value": "orderid"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
3,055
|
music_2
|
spider:train_spider.json:5229
|
How many songs have vocals of type lead?
|
SELECT count(DISTINCT title) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE TYPE = "lead"
|
[
"How",
"many",
"songs",
"have",
"vocals",
"of",
"type",
"lead",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "vocals"
},
{
"id": 5,
"type": "column",
"value": "songid"
},
{
"id": 1,
"type": "table",
"value": "songs"
},
{
"id": 4,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "column",
"value": "type"
},
{
"id": 3,
"type": "column",
"value": "lead"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
3,056
|
codebase_community
|
bird:dev.json:626
|
How many votes were made in 2010?
|
SELECT COUNT(id) FROM votes WHERE STRFTIME('%Y', CreationDate) = '2010'
|
[
"How",
"many",
"votes",
"were",
"made",
"in",
"2010",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "creationdate"
},
{
"id": 0,
"type": "table",
"value": "votes"
},
{
"id": 1,
"type": "value",
"value": "2010"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 3,
"type": "value",
"value": "%Y"
}
] |
[
{
"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-VALUE",
"O"
] |
3,057
|
menu
|
bird:train.json:5545
|
How many pages are there in the "Emil Kuehn" menu?
|
SELECT SUM(CASE WHEN T1.name = 'Emil Kuehn' THEN 1 ELSE 0 END) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id
|
[
"How",
"many",
"pages",
"are",
"there",
"in",
"the",
"\"",
"Emil",
"Kuehn",
"\"",
"menu",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Emil Kuehn"
},
{
"id": 1,
"type": "table",
"value": "menupage"
},
{
"id": 3,
"type": "column",
"value": "menu_id"
},
{
"id": 0,
"type": "table",
"value": "menu"
},
{
"id": 6,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "id"
},
{
"id": 4,
"type": "value",
"value": "0"
},
{
"id": 5,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
1,
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
8,
9
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
3,058
|
restaurant
|
bird:train.json:1740
|
List street names in San Francisco city.
|
SELECT street_name FROM location WHERE city = 'San Francisco'
|
[
"List",
"street",
"names",
"in",
"San",
"Francisco",
"city",
"."
] |
[
{
"id": 3,
"type": "value",
"value": "San Francisco"
},
{
"id": 1,
"type": "column",
"value": "street_name"
},
{
"id": 0,
"type": "table",
"value": "location"
},
{
"id": 2,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1,
2
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
4,
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",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"O"
] |
3,059
|
books
|
bird:train.json:6053
|
Identify the cost difference between Priority and Express shipping methods.
|
SELECT SUM(CASE WHEN method_name = 'Priority' THEN cost ELSE 0 END) - SUM(CASE WHEN method_name = 'Express' THEN cost ELSE 0 END) FROM shipping_method
|
[
"Identify",
"the",
"cost",
"difference",
"between",
"Priority",
"and",
"Express",
"shipping",
"methods",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "shipping_method"
},
{
"id": 3,
"type": "column",
"value": "method_name"
},
{
"id": 4,
"type": "value",
"value": "Priority"
},
{
"id": 5,
"type": "value",
"value": "Express"
},
{
"id": 2,
"type": "column",
"value": "cost"
},
{
"id": 1,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"B-TABLE",
"B-COLUMN",
"O"
] |
3,060
|
bakery_1
|
bird:test.json:1576
|
What are the ids, flavors, and food types of goods, ordered by price?
|
SELECT id , flavor , food FROM goods ORDER BY price
|
[
"What",
"are",
"the",
"ids",
",",
"flavors",
",",
"and",
"food",
"types",
"of",
"goods",
",",
"ordered",
"by",
"price",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "flavor"
},
{
"id": 0,
"type": "table",
"value": "goods"
},
{
"id": 4,
"type": "column",
"value": "price"
},
{
"id": 3,
"type": "column",
"value": "food"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
3,061
|
student_club
|
bird:dev.json:1454
|
What is the percentage of the cost for the meeting events?
|
SELECT SUM(CASE WHEN T1.type = 'Meeting' THEN T3.cost ELSE 0 END) * 100 / SUM(T3.cost) FROM event AS T1 INNER JOIN budget AS T2 ON T1.event_id = T2.link_to_event INNER JOIN expense AS T3 ON T2.budget_id = T3.link_to_budget
|
[
"What",
"is",
"the",
"percentage",
"of",
"the",
"cost",
"for",
"the",
"meeting",
"events",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "link_to_budget"
},
{
"id": 8,
"type": "column",
"value": "link_to_event"
},
{
"id": 3,
"type": "column",
"value": "budget_id"
},
{
"id": 7,
"type": "column",
"value": "event_id"
},
{
"id": 0,
"type": "table",
"value": "expense"
},
{
"id": 11,
"type": "value",
"value": "Meeting"
},
{
"id": 2,
"type": "table",
"value": "budget"
},
{
"id": 1,
"type": "table",
"value": "event"
},
{
"id": 6,
"type": "column",
"value": "cost"
},
{
"id": 10,
"type": "column",
"value": "type"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 9,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
10
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": [
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",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
3,062
|
customers_and_orders
|
bird:test.json:239
|
Show all product ids, product type codes, and product name.
|
SELECT product_id , product_type_code , product_name FROM Products
|
[
"Show",
"all",
"product",
"ids",
",",
"product",
"type",
"codes",
",",
"and",
"product",
"name",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "product_type_code"
},
{
"id": 3,
"type": "column",
"value": "product_name"
},
{
"id": 1,
"type": "column",
"value": "product_id"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
5,
6,
7
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
3,063
|
movies_4
|
bird:train.json:457
|
In Movie No. 19, how many people are there in Department No. 7? Please give me their job.
|
SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7
|
[
"In",
"Movie",
"No",
".",
"19",
",",
"how",
"many",
"people",
"are",
"there",
"in",
"Department",
"No",
".",
"7",
"?",
"Please",
"give",
"me",
"their",
"job",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "department_id"
},
{
"id": 0,
"type": "table",
"value": "movie_crew"
},
{
"id": 2,
"type": "column",
"value": "movie_id"
},
{
"id": 1,
"type": "column",
"value": "job"
},
{
"id": 3,
"type": "value",
"value": "19"
},
{
"id": 5,
"type": "value",
"value": "7"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
21
]
},
{
"entity_id": 2,
"token_idxs": [
1
]
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
3,064
|
customers_and_invoices
|
spider:train_spider.json:1627
|
How many products were not included in any order?
|
SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items )
|
[
"How",
"many",
"products",
"were",
"not",
"included",
"in",
"any",
"order",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "order_items"
},
{
"id": 1,
"type": "column",
"value": "product_id"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,065
|
food_inspection
|
bird:train.json:8839
|
List down the owner's name with a zip code 94104.
|
SELECT DISTINCT owner_name FROM businesses WHERE owner_zip = '94104'
|
[
"List",
"down",
"the",
"owner",
"'s",
"name",
"with",
"a",
"zip",
"code",
"94104",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "businesses"
},
{
"id": 1,
"type": "column",
"value": "owner_name"
},
{
"id": 2,
"type": "column",
"value": "owner_zip"
},
{
"id": 3,
"type": "value",
"value": "94104"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4,
5
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
3,066
|
books
|
bird:train.json:5962
|
What is the language of the book with ISBN 23755004321?
|
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.isbn13 = 23755004321
|
[
"What",
"is",
"the",
"language",
"of",
"the",
"book",
"with",
"ISBN",
"23755004321",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "language_name"
},
{
"id": 2,
"type": "table",
"value": "book_language"
},
{
"id": 4,
"type": "value",
"value": "23755004321"
},
{
"id": 5,
"type": "column",
"value": "language_id"
},
{
"id": 3,
"type": "column",
"value": "isbn13"
},
{
"id": 1,
"type": "table",
"value": "book"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
3
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
3,067
|
customers_and_invoices
|
spider:train_spider.json:1573
|
Show the number of customers.
|
SELECT count(*) FROM Customers
|
[
"Show",
"the",
"number",
"of",
"customers",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,068
|
cre_Doc_Control_Systems
|
spider:train_spider.json:2122
|
List document id of documents status is done and document type is Paper and the document is shipped by shipping agent named USPS.
|
SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper" INTERSECT SELECT document_id FROM Documents JOIN Ref_Shipping_Agents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code WHERE Ref_Shipping_Agents.shipping_agent_name = "USPS";
|
[
"List",
"document",
"i",
"d",
"of",
"documents",
"status",
"is",
"done",
"and",
"document",
"type",
"is",
"Paper",
"and",
"the",
"document",
"is",
"shipped",
"by",
"shipping",
"agent",
"named",
"USPS",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "document_status_code"
},
{
"id": 2,
"type": "table",
"value": "ref_shipping_agents"
},
{
"id": 3,
"type": "column",
"value": "shipping_agent_name"
},
{
"id": 9,
"type": "column",
"value": "shipping_agent_code"
},
{
"id": 7,
"type": "column",
"value": "document_type_code"
},
{
"id": 1,
"type": "column",
"value": "document_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 8,
"type": "column",
"value": "Paper"
},
{
"id": 4,
"type": "column",
"value": "USPS"
},
{
"id": 6,
"type": "column",
"value": "done"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
1,
2,
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
22
]
},
{
"entity_id": 4,
"token_idxs": [
23
]
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": [
8
]
},
{
"entity_id": 7,
"token_idxs": [
10,
11
]
},
{
"entity_id": 8,
"token_idxs": [
13
]
},
{
"entity_id": 9,
"token_idxs": [
20,
21
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"B-COLUMN",
"O"
] |
3,069
|
law_episode
|
bird:train.json:1345
|
How many winners have been awarded a Television award by the "American Bar Association Silver Gavel Awards for Media and the Arts"?
|
SELECT COUNT(award_id) FROM Award WHERE result = 'Winner' AND award = 'Television' AND organization = 'American Bar Association Silver Gavel Awards for Media and the Arts'
|
[
"How",
"many",
"winners",
"have",
"been",
"awarded",
"a",
"Television",
"award",
"by",
"the",
"\"",
"American",
"Bar",
"Association",
"Silver",
"Gavel",
"Awards",
"for",
"Media",
"and",
"the",
"Arts",
"\"",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "American Bar Association Silver Gavel Awards for Media and the Arts"
},
{
"id": 6,
"type": "column",
"value": "organization"
},
{
"id": 5,
"type": "value",
"value": "Television"
},
{
"id": 1,
"type": "column",
"value": "award_id"
},
{
"id": 2,
"type": "column",
"value": "result"
},
{
"id": 3,
"type": "value",
"value": "Winner"
},
{
"id": 0,
"type": "table",
"value": "award"
},
{
"id": 4,
"type": "column",
"value": "award"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": [
14
]
},
{
"entity_id": 7,
"token_idxs": [
12,
13,
15,
16,
17,
18,
19,
20,
21,
22
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
3,070
|
movie_platform
|
bird:train.json:63
|
When did the creator of the list "250 Favourite Films" last updated a movie list?
|
SELECT T2.list_update_date_utc FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.list_title = '250 Favourite Films' ORDER BY T2.list_update_date_utc DESC LIMIT 1
|
[
"When",
"did",
"the",
"creator",
"of",
"the",
"list",
"\"",
"250",
"Favourite",
"Films",
"\"",
"last",
"updated",
"a",
"movie",
"list",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "list_update_date_utc"
},
{
"id": 4,
"type": "value",
"value": "250 Favourite Films"
},
{
"id": 2,
"type": "table",
"value": "lists_users"
},
{
"id": 3,
"type": "column",
"value": "list_title"
},
{
"id": 5,
"type": "column",
"value": "list_id"
},
{
"id": 6,
"type": "column",
"value": "user_id"
},
{
"id": 1,
"type": "table",
"value": "lists"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12,
13,
14
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 5,
"token_idxs": [
16
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O"
] |
3,071
|
cre_Docs_and_Epenses
|
spider:train_spider.json:6423
|
Show the statement detail and the corresponding document name for the statement with detail 'Private Project'.
|
SELECT T1.statement_details , T2.document_name FROM Statements AS T1 JOIN Documents AS T2 ON T1.statement_id = T2.document_id WHERE T1.statement_details = 'Private Project'
|
[
"Show",
"the",
"statement",
"detail",
"and",
"the",
"corresponding",
"document",
"name",
"for",
"the",
"statement",
"with",
"detail",
"'",
"Private",
"Project",
"'",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "statement_details"
},
{
"id": 4,
"type": "value",
"value": "Private Project"
},
{
"id": 1,
"type": "column",
"value": "document_name"
},
{
"id": 5,
"type": "column",
"value": "statement_id"
},
{
"id": 6,
"type": "column",
"value": "document_id"
},
{
"id": 2,
"type": "table",
"value": "statements"
},
{
"id": 3,
"type": "table",
"value": "documents"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
15,
16
]
},
{
"entity_id": 5,
"token_idxs": [
2
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
3,072
|
wine_1
|
spider:train_spider.json:6588
|
Which 3 wineries produce the most wines made from white grapes?
|
SELECT T2.Winery FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.GRAPE = T2.GRAPE WHERE T1.Color = "White" GROUP BY T2.Winery ORDER BY count(*) DESC LIMIT 3
|
[
"Which",
"3",
"wineries",
"produce",
"the",
"most",
"wines",
"made",
"from",
"white",
"grapes",
"?"
] |
[
{
"id": 0,
"type": "column",
"value": "winery"
},
{
"id": 1,
"type": "table",
"value": "grapes"
},
{
"id": 3,
"type": "column",
"value": "color"
},
{
"id": 4,
"type": "column",
"value": "White"
},
{
"id": 5,
"type": "column",
"value": "grape"
},
{
"id": 2,
"type": "table",
"value": "wine"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
10
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
3,073
|
body_builder
|
spider:train_spider.json:1157
|
What are the names of body builders whose total score is higher than 300?
|
SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Total > 300
|
[
"What",
"are",
"the",
"names",
"of",
"body",
"builders",
"whose",
"total",
"score",
"is",
"higher",
"than",
"300",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "body_builder"
},
{
"id": 5,
"type": "column",
"value": "people_id"
},
{
"id": 2,
"type": "table",
"value": "people"
},
{
"id": 3,
"type": "column",
"value": "total"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "300"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"I-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
3,074
|
dorm_1
|
spider:train_spider.json:5723
|
What is the average and oldest age for each gender of student?
|
SELECT avg(age) , max(age) , sex FROM student GROUP BY sex
|
[
"What",
"is",
"the",
"average",
"and",
"oldest",
"age",
"for",
"each",
"gender",
"of",
"student",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 1,
"type": "column",
"value": "sex"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,075
|
customer_deliveries
|
spider:train_spider.json:2849
|
List the names and emails of customers who payed by Visa card.
|
SELECT customer_email , customer_name FROM customers WHERE payment_method = 'Visa'
|
[
"List",
"the",
"names",
"and",
"emails",
"of",
"customers",
"who",
"payed",
"by",
"Visa",
"card",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "customer_email"
},
{
"id": 3,
"type": "column",
"value": "payment_method"
},
{
"id": 2,
"type": "column",
"value": "customer_name"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 4,
"type": "value",
"value": "Visa"
}
] |
[
{
"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": [
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
3,076
|
shakespeare
|
bird:train.json:3029
|
Please name any three comedic works.
|
SELECT Title FROM works WHERE GenreType = 'comedy' LIMIT 3
|
[
"Please",
"name",
"any",
"three",
"comedic",
"works",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "genretype"
},
{
"id": 3,
"type": "value",
"value": "comedy"
},
{
"id": 0,
"type": "table",
"value": "works"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
3,077
|
image_and_language
|
bird:train.json:7562
|
Which object in image 8 is the widest? State its object sample ID.
|
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 8 ORDER BY W DESC LIMIT 1
|
[
"Which",
"object",
"in",
"image",
"8",
"is",
"the",
"widest",
"?",
"State",
"its",
"object",
"sample",
"ID",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "obj_sample_id"
},
{
"id": 0,
"type": "table",
"value": "img_obj"
},
{
"id": 2,
"type": "column",
"value": "img_id"
},
{
"id": 3,
"type": "value",
"value": "8"
},
{
"id": 4,
"type": "column",
"value": "w"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
11,
12,
13
]
},
{
"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",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O"
] |
3,078
|
works_cycles
|
bird:train.json:7053
|
What is the pay frequency of the oldest employee?
|
SELECT T1.PayFrequency FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.BirthDate ASC LIMIT 1
|
[
"What",
"is",
"the",
"pay",
"frequency",
"of",
"the",
"oldest",
"employee",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "employeepayhistory"
},
{
"id": 4,
"type": "column",
"value": "businessentityid"
},
{
"id": 0,
"type": "column",
"value": "payfrequency"
},
{
"id": 3,
"type": "column",
"value": "birthdate"
},
{
"id": 2,
"type": "table",
"value": "employee"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3,
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,079
|
government_shift
|
bird:test.json:370
|
Which customers never used any services ? Give me the customer details .
|
select customer_details from customers where customer_id not in (select customer_id from customers_and_services)
|
[
"Which",
"customers",
"never",
"used",
"any",
"services",
"?",
"Give",
"me",
"the",
"customer",
"details",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "customers_and_services"
},
{
"id": 1,
"type": "column",
"value": "customer_details"
},
{
"id": 2,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
10
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
3,080
|
toxicology
|
bird:dev.json:246
|
List the bond type and the bond ID of the atom 45.
|
SELECT T1.bond_type, T1.bond_id FROM bond AS T1 INNER JOIN connected AS T2 ON T1.bond_id = T2.bond_id WHERE SUBSTR(T2.atom_id, 7, 2) = '45'
|
[
"List",
"the",
"bond",
"type",
"and",
"the",
"bond",
"ID",
"of",
"the",
"atom",
"45",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "bond_type"
},
{
"id": 3,
"type": "table",
"value": "connected"
},
{
"id": 1,
"type": "column",
"value": "bond_id"
},
{
"id": 5,
"type": "column",
"value": "atom_id"
},
{
"id": 2,
"type": "table",
"value": "bond"
},
{
"id": 4,
"type": "value",
"value": "45"
},
{
"id": 6,
"type": "value",
"value": "7"
},
{
"id": 7,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
6,
7
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O"
] |
3,081
|
bike_share_1
|
bird:train.json:9006
|
How long did it take for bike id 426 to reach 2nd at South Park from Market at 4th on 8/29/2013? Indicate the duration in minutes.
|
SELECT CAST(duration AS REAL) / 60 FROM trip WHERE bike_id = 426 AND end_station_name = '2nd at South Park' AND start_station_name = 'Market at 4th' AND start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%'
|
[
"How",
"long",
"did",
"it",
"take",
"for",
"bike",
"i",
"d",
"426",
"to",
"reach",
"2nd",
"at",
"South",
"Park",
"from",
"Market",
"at",
"4th",
"on",
"8/29/2013",
"?",
"Indicate",
"the",
"duration",
"in",
"minutes",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "start_station_name"
},
{
"id": 5,
"type": "value",
"value": "2nd at South Park"
},
{
"id": 4,
"type": "column",
"value": "end_station_name"
},
{
"id": 7,
"type": "value",
"value": "Market at 4th"
},
{
"id": 8,
"type": "column",
"value": "start_date"
},
{
"id": 9,
"type": "value",
"value": "8/29/2013%"
},
{
"id": 10,
"type": "column",
"value": "end_date"
},
{
"id": 11,
"type": "column",
"value": "duration"
},
{
"id": 2,
"type": "column",
"value": "bike_id"
},
{
"id": 0,
"type": "table",
"value": "trip"
},
{
"id": 3,
"type": "value",
"value": "426"
},
{
"id": 1,
"type": "value",
"value": "60"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6,
7,
8
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12,
13,
14,
15
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
17,
18,
19
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
21
]
},
{
"entity_id": 10,
"token_idxs": [
23
]
},
{
"entity_id": 11,
"token_idxs": [
25
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-VALUE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
3,082
|
cre_Students_Information_Systems
|
bird:test.json:513
|
When did all the detentions start?
|
SELECT datetime_detention_start FROM Detention
|
[
"When",
"did",
"all",
"the",
"detentions",
"start",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "datetime_detention_start"
},
{
"id": 0,
"type": "table",
"value": "detention"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
3,
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-COLUMN",
"B-TABLE",
"B-COLUMN",
"O"
] |
3,083
|
world
|
bird:train.json:7911
|
How many cities are there in the country with the surface area of 652090?
|
SELECT T2.Name, COUNT(T1.Name) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea = 652090 GROUP BY T2.Name
|
[
"How",
"many",
"cities",
"are",
"there",
"in",
"the",
"country",
"with",
"the",
"surface",
"area",
"of",
"652090",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "surfacearea"
},
{
"id": 5,
"type": "column",
"value": "countrycode"
},
{
"id": 2,
"type": "table",
"value": "country"
},
{
"id": 4,
"type": "value",
"value": "652090"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
"type": "table",
"value": "city"
},
{
"id": 6,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
10,
11
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
3,084
|
scientist_1
|
spider:train_spider.json:6513
|
List all the scientists' names, their projects' names, and the hours worked by that scientist on each project, in alphabetical order of project name, and then scientist name.
|
SELECT T1.Name , T3.Name , T3.Hours FROM Scientists AS T1 JOIN AssignedTo AS T2 ON T1.SSN = T2.Scientist JOIN Projects AS T3 ON T2.Project = T3.Code ORDER BY T3.Name , T1.Name
|
[
"List",
"all",
"the",
"scientists",
"'",
"names",
",",
"their",
"projects",
"'",
"names",
",",
"and",
"the",
"hours",
"worked",
"by",
"that",
"scientist",
"on",
"each",
"project",
",",
"in",
"alphabetical",
"order",
"of",
"project",
"name",
",",
"and",
"then",
"scientist",
"name",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "scientists"
},
{
"id": 4,
"type": "table",
"value": "assignedto"
},
{
"id": 8,
"type": "column",
"value": "scientist"
},
{
"id": 2,
"type": "table",
"value": "projects"
},
{
"id": 5,
"type": "column",
"value": "project"
},
{
"id": 1,
"type": "column",
"value": "hours"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 6,
"type": "column",
"value": "code"
},
{
"id": 7,
"type": "column",
"value": "ssn"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
28
]
},
{
"entity_id": 1,
"token_idxs": [
14
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
21
]
},
{
"entity_id": 6,
"token_idxs": [
25
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
18
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,085
|
aircraft
|
spider:train_spider.json:4835
|
Show all information on the airport that has the largest number of international passengers.
|
SELECT * FROM airport ORDER BY International_Passengers DESC LIMIT 1
|
[
"Show",
"all",
"information",
"on",
"the",
"airport",
"that",
"has",
"the",
"largest",
"number",
"of",
"international",
"passengers",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "international_passengers"
},
{
"id": 0,
"type": "table",
"value": "airport"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
12,
13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
3,086
|
hockey
|
bird:train.json:7781
|
How many penalty minutes did the Montreal Canadiens have on average in the Stanley Cup Finals?
|
SELECT CAST(SUM(T2.PIM) AS REAL) / COUNT(T2.PIM) FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens'
|
[
"How",
"many",
"penalty",
"minutes",
"did",
"the",
"Montreal",
"Canadiens",
"have",
"on",
"average",
"in",
"the",
"Stanley",
"Cup",
"Finals",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Montreal Canadiens"
},
{
"id": 1,
"type": "table",
"value": "teamssc"
},
{
"id": 0,
"type": "table",
"value": "teams"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "column",
"value": "tmid"
},
{
"id": 6,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "column",
"value": "pim"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"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",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,087
|
synthea
|
bird:train.json:1454
|
How many patients of Irish ethnicity take medication for 'myocardial infarction'?
|
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Myocardial Infarction' AND T1.ethnicity = 'irish'
|
[
"How",
"many",
"patients",
"of",
"Irish",
"ethnicity",
"take",
"medication",
"for",
"'",
"myocardial",
"infarction",
"'",
"?"
] |
[
{
"id": 4,
"type": "value",
"value": "Myocardial Infarction"
},
{
"id": 3,
"type": "column",
"value": "reasondescription"
},
{
"id": 1,
"type": "table",
"value": "medications"
},
{
"id": 5,
"type": "column",
"value": "ethnicity"
},
{
"id": 0,
"type": "table",
"value": "patients"
},
{
"id": 2,
"type": "column",
"value": "patient"
},
{
"id": 6,
"type": "value",
"value": "irish"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10,
11
]
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
4
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
3,088
|
advertising_agencies
|
bird:test.json:2142
|
Return the ids and details of staff who have attended at least 1 meeting and have an s in their staff details?
|
SELECT staff_id , staff_details FROM staff WHERE staff_details LIKE "%s%" GROUP BY staff_id HAVING count(*) >= 1
|
[
"Return",
"the",
"ids",
"and",
"details",
"of",
"staff",
"who",
"have",
"attended",
"at",
"least",
"1",
"meeting",
"and",
"have",
"an",
"s",
"in",
"their",
"staff",
"details",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "staff_details"
},
{
"id": 1,
"type": "column",
"value": "staff_id"
},
{
"id": 0,
"type": "table",
"value": "staff"
},
{
"id": 3,
"type": "column",
"value": "%s%"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
20
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": [
21
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
3,089
|
region_building
|
bird:test.json:336
|
Which regions have more than one building? Give me the names of the regions.
|
SELECT T2.Name FROM building AS T1 JOIN region AS T2 ON T1.Region_ID = T2.Region_ID GROUP BY T1.Region_ID HAVING COUNT(*) > 1
|
[
"Which",
"regions",
"have",
"more",
"than",
"one",
"building",
"?",
"Give",
"me",
"the",
"names",
"of",
"the",
"regions",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "region_id"
},
{
"id": 2,
"type": "table",
"value": "building"
},
{
"id": 3,
"type": "table",
"value": "region"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
3,090
|
video_games
|
bird:train.json:3451
|
What platform is the game 3Xtreme available on?
|
SELECT T2.platform_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = '3Xtreme'
|
[
"What",
"platform",
"is",
"the",
"game",
"3Xtreme",
"available",
"on",
"?"
] |
[
{
"id": 9,
"type": "column",
"value": "game_publisher_id"
},
{
"id": 4,
"type": "table",
"value": "game_publisher"
},
{
"id": 0,
"type": "column",
"value": "platform_name"
},
{
"id": 7,
"type": "table",
"value": "game_platform"
},
{
"id": 10,
"type": "column",
"value": "platform_id"
},
{
"id": 2,
"type": "column",
"value": "game_name"
},
{
"id": 8,
"type": "table",
"value": "platform"
},
{
"id": 3,
"type": "value",
"value": "3Xtreme"
},
{
"id": 5,
"type": "column",
"value": "game_id"
},
{
"id": 1,
"type": "table",
"value": "game"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
1
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"B-VALUE",
"O",
"O",
"O"
] |
3,091
|
college_1
|
spider:train_spider.json:3257
|
List the codes of all courses that take place in room KLR209.
|
SELECT class_code FROM CLASS WHERE class_room = 'KLR209'
|
[
"List",
"the",
"codes",
"of",
"all",
"courses",
"that",
"take",
"place",
"in",
"room",
"KLR209",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "class_code"
},
{
"id": 2,
"type": "column",
"value": "class_room"
},
{
"id": 3,
"type": "value",
"value": "KLR209"
},
{
"id": 0,
"type": "table",
"value": "class"
}
] |
[
{
"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": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_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-VALUE",
"O"
] |
3,092
|
entrepreneur
|
spider:train_spider.json:2281
|
What is the total money requested by entrepreneurs with height more than 1.85?
|
SELECT sum(T1.Money_Requested) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 1.85
|
[
"What",
"is",
"the",
"total",
"money",
"requested",
"by",
"entrepreneurs",
"with",
"height",
"more",
"than",
"1.85",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "money_requested"
},
{
"id": 0,
"type": "table",
"value": "entrepreneur"
},
{
"id": 5,
"type": "column",
"value": "people_id"
},
{
"id": 1,
"type": "table",
"value": "people"
},
{
"id": 2,
"type": "column",
"value": "height"
},
{
"id": 3,
"type": "value",
"value": "1.85"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
4,
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
3,093
|
card_games
|
bird:dev.json:398
|
What is the unconverted mana do all the cards created by Rob Alexander cost in total?
|
SELECT manaCost FROM cards WHERE artist = 'Rob Alexander'
|
[
"What",
"is",
"the",
" ",
"unconverted",
"mana",
"do",
"all",
"the",
"cards",
"created",
"by",
"Rob",
"Alexander",
"cost",
"in",
"total",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Rob Alexander"
},
{
"id": 1,
"type": "column",
"value": "manacost"
},
{
"id": 2,
"type": "column",
"value": "artist"
},
{
"id": 0,
"type": "table",
"value": "cards"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
9
]
},
{
"entity_id": 1,
"token_idxs": [
5,
6
]
},
{
"entity_id": 2,
"token_idxs": [
0,
1
]
},
{
"entity_id": 3,
"token_idxs": [
12,
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": []
}
] |
[
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O",
"O"
] |
3,094
|
soccer_2016
|
bird:train.json:1817
|
What is the batting hand of MK Pandey?
|
SELECT T2.Batting_hand FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T1.Player_Name = 'MK Pandey'
|
[
"What",
"is",
"the",
"batting",
"hand",
"of",
"MK",
"Pandey",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "batting_style"
},
{
"id": 0,
"type": "column",
"value": "batting_hand"
},
{
"id": 3,
"type": "column",
"value": "player_name"
},
{
"id": 5,
"type": "column",
"value": "batting_id"
},
{
"id": 4,
"type": "value",
"value": "MK Pandey"
},
{
"id": 1,
"type": "table",
"value": "player"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
6,
7
]
},
{
"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",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
3,095
|
address_1
|
bird:test.json:797
|
Which state has most number of students?
|
SELECT T1.state FROM City AS T1 JOIN Student AS T2 ON T1.city_code = T2.city_code GROUP BY T1.state ORDER BY count(*) DESC LIMIT 1
|
[
"Which",
"state",
"has",
"most",
"number",
"of",
"students",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "city_code"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 0,
"type": "column",
"value": "state"
},
{
"id": 1,
"type": "table",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,096
|
climbing
|
spider:train_spider.json:1140
|
List the countries that have more than one mountain.
|
SELECT Country FROM mountain GROUP BY Country HAVING COUNT(*) > 1
|
[
"List",
"the",
"countries",
"that",
"have",
"more",
"than",
"one",
"mountain",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "mountain"
},
{
"id": 1,
"type": "column",
"value": "country"
},
{
"id": 2,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
3,097
|
movie_platform
|
bird:train.json:61
|
How many movie lists with over 100 movies had user 85981819 created when he or she was a paying subscriber?
|
SELECT COUNT(*) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 85981819 AND T1.list_movie_number > 100 AND T2.user_has_payment_method = 1
|
[
"How",
"many",
"movie",
"lists",
"with",
"over",
"100",
"movies",
"had",
"user",
"85981819",
"created",
"when",
"he",
"or",
"she",
"was",
"a",
"paying",
"subscriber",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "user_has_payment_method"
},
{
"id": 4,
"type": "column",
"value": "list_movie_number"
},
{
"id": 1,
"type": "table",
"value": "lists_users"
},
{
"id": 3,
"type": "value",
"value": "85981819"
},
{
"id": 2,
"type": "column",
"value": "user_id"
},
{
"id": 8,
"type": "column",
"value": "list_id"
},
{
"id": 0,
"type": "table",
"value": "lists"
},
{
"id": 5,
"type": "value",
"value": "100"
},
{
"id": 7,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
9
]
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
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},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
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},
{
"entity_id": 10,
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,098
|
works_cycles
|
bird:train.json:7278
|
What is the current status of the order with the highest shipping cost?
|
SELECT Status FROM SalesOrderHeader ORDER BY Freight DESC LIMIT 1
|
[
"What",
"is",
"the",
"current",
"status",
"of",
"the",
"order",
"with",
"the",
"highest",
"shipping",
"cost",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "salesorderheader"
},
{
"id": 2,
"type": "column",
"value": "freight"
},
{
"id": 1,
"type": "column",
"value": "status"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
3,099
|
inn_1
|
spider:train_spider.json:2611
|
What are the number of rooms for each bed type?
|
SELECT bedType , count(*) FROM Rooms GROUP BY bedType;
|
[
"What",
"are",
"the",
"number",
"of",
"rooms",
"for",
"each",
"bed",
"type",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "bedtype"
},
{
"id": 0,
"type": "table",
"value": "rooms"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
8,
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
3,100
|
beer_factory
|
bird:train.json:5312
|
What is the name of all the customers who have ever given a 5-star review?
|
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5
|
[
"What",
"is",
"the",
"name",
"of",
"all",
"the",
"customers",
"who",
"have",
"ever",
"given",
"a",
"5",
"-",
"star",
"review",
"?"
] |
[
{
"id": 3,
"type": "table",
"value": "rootbeerreview"
},
{
"id": 4,
"type": "column",
"value": "starrating"
},
{
"id": 6,
"type": "column",
"value": "customerid"
},
{
"id": 2,
"type": "table",
"value": "customers"
},
{
"id": 0,
"type": "column",
"value": "first"
},
{
"id": 1,
"type": "column",
"value": "last"
},
{
"id": 5,
"type": "value",
"value": "5"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
15,
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"I-TABLE",
"O"
] |
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