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14,124
government_shift
bird:test.json:366
return the details of the customer with largest count of used services.
select t1.customer_details from customers as t1 join customers_and_services as t2 on t1.customer_id = t2.customer_id group by t1.customer_details order by count(*) desc limit 1
[ "return", "the", "details", "of", "the", "customer", "with", "largest", "count", "of", "used", "services", "." ]
[ { "id": 2, "type": "table", "value": "customers_and_services" }, { "id": 0, "type": "column", "value": "customer_details" }, { "id": 3, "type": "column", "value": "customer_id" }, { "id": 1, "type": "table", "value": "customers" } ]
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[ "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "O" ]
14,125
works_cycles
bird:train.json:7137
What percentage of the AdventureWorks data is in Thai?
SELECT CAST(SUM(CASE WHEN T1.Name = 'Thai' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.CultureID) FROM Culture AS T1 INNER JOIN ProductModelProductDescriptionCulture AS T2 ON T1.CultureID = T2.CultureID
[ "What", "percentage", "of", "the", "AdventureWorks", "data", "is", "in", "Thai", "?" ]
[ { "id": 1, "type": "table", "value": "productmodelproductdescriptionculture" }, { "id": 2, "type": "column", "value": "cultureid" }, { "id": 0, "type": "table", "value": "culture" }, { "id": 6, "type": "column", "value": "name" }, { "id": 7, "type": "value", "value": "Thai" }, { "id": 3, "type": "value", "value": "100" }, { "id": 4, "type": "value", "value": "0" }, { "id": 5, "type": "value", "value": "1" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [ 8 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "O" ]
14,126
shakespeare
bird:train.json:2964
How many characters are there in Twelfth Night?
SELECT COUNT(DISTINCT T4.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.Title = 'Twelfth Night'
[ "How", "many", "characters", "are", "there", "in", "Twelfth", "Night", "?" ]
[ { "id": 2, "type": "value", "value": "Twelfth Night" }, { "id": 5, "type": "column", "value": "character_id" }, { "id": 0, "type": "table", "value": "characters" }, { "id": 4, "type": "table", "value": "paragraphs" }, { "id": 8, "type": "column", "value": "chapter_id" }, { "id": 7, "type": "table", "value": "chapters" }, { "id": 9, "type": "column", "value": "work_id" }, { "id": 1, "type": "column", "value": "title" }, { "id": 6, "type": "table", "value": "works" }, { "id": 3, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 6, 7 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [ 2 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "I-VALUE", "O" ]
14,127
department_store
spider:train_spider.json:4789
Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.
SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Sales Person" EXCEPT SELECT T1.staff_name , T1.staff_gender FROM staff AS T1 JOIN Staff_Department_Assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Clerical Staff"
[ "Find", "the", "name", "and", "gender", "of", "the", "staff", "who", "has", "been", "assigned", "the", "job", "of", "Sales", "Person", "but", "never", "Clerical", "Staff", "." ]
[ { "id": 3, "type": "table", "value": "staff_department_assignments" }, { "id": 4, "type": "column", "value": "job_title_code" }, { "id": 6, "type": "column", "value": "Clerical Staff" }, { "id": 1, "type": "column", "value": "staff_gender" }, { "id": 5, "type": "column", "value": "Sales Person" }, { "id": 0, "type": "column", "value": "staff_name" }, { "id": 7, "type": "column", "value": "staff_id" }, { "id": 2, "type": "table", "value": "staff" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 4 ] }, { "entity_id": 2, "token_idxs": [ 7 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 15, 16 ] }, { "entity_id": 6, "token_idxs": [ 19 ] }, { "entity_id": 7, "token_idxs": [ 20 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-COLUMN", "B-COLUMN", "O" ]
14,129
language_corpus
bird:train.json:5772
How many pages of Wikipedia are there in total on the Catalan language?
SELECT pages FROM langs WHERE lang = 'ca'
[ "How", "many", "pages", "of", "Wikipedia", "are", "there", "in", "total", "on", "the", "Catalan", "language", "?" ]
[ { "id": 0, "type": "table", "value": "langs" }, { "id": 1, "type": "column", "value": "pages" }, { "id": 2, "type": "column", "value": "lang" }, { "id": 3, "type": "value", "value": "ca" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O" ]
14,130
scientist_1
spider:train_spider.json:6470
How many scientists are there?
SELECT count(*) FROM scientists
[ "How", "many", "scientists", "are", "there", "?" ]
[ { "id": 0, "type": "table", "value": "scientists" } ]
[ { "entity_id": 0, "token_idxs": [ 2 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "O", "O", "O" ]
14,131
app_store
bird:train.json:2530
What is the average rating of comic category apps? How many users hold positive attitude towards this app?
SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'
[ "What", "is", "the", "average", "rating", "of", "comic", "category", "apps", "?", "How", "many", "users", "hold", "positive", "attitude", "towards", "this", "app", "?" ]
[ { "id": 1, "type": "table", "value": "user_reviews" }, { "id": 0, "type": "table", "value": "playstore" }, { "id": 7, "type": "column", "value": "sentiment" }, { "id": 2, "type": "column", "value": "category" }, { "id": 8, "type": "value", "value": "Positive" }, { "id": 3, "type": "value", "value": "COMICS" }, { "id": 4, "type": "column", "value": "rating" }, { "id": 5, "type": "column", "value": "app" }, { "id": 6, "type": "value", "value": "1" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 12 ] }, { "entity_id": 2, "token_idxs": [ 7 ] }, { "entity_id": 3, "token_idxs": [ 6 ] }, { "entity_id": 4, "token_idxs": [ 4 ] }, { "entity_id": 5, "token_idxs": [ 18 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [ 14 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "B-COLUMN", "O", "O", "O", "O", "B-TABLE", "O", "B-VALUE", "O", "O", "O", "B-COLUMN", "O" ]
14,132
bike_1
spider:train_spider.json:176
What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
[ "What", "is", "the", "date", ",", "average", "temperature", "and", "mean", "humidity", "for", "the", "days", "with", "the", "3", "largest", "maximum", "gust", "speeds", "?" ]
[ { "id": 2, "type": "column", "value": "mean_temperature_f" }, { "id": 4, "type": "column", "value": "max_gust_speed_mph" }, { "id": 3, "type": "column", "value": "mean_humidity" }, { "id": 0, "type": "table", "value": "weather" }, { "id": 1, "type": "column", "value": "date" } ]
[ { "entity_id": 0, "token_idxs": [ 14 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 6 ] }, { "entity_id": 3, "token_idxs": [ 8, 9 ] }, { "entity_id": 4, "token_idxs": [ 17, 18, 19 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "B-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "O" ]
14,133
advertising_agencies
bird:test.json:2146
What are the start and end times of each meeting, as well as the corresponding client and staff details the attendees?
SELECT T1.start_date_time , T1.end_date_time , T2.client_details , T4.staff_details FROM meetings AS T1 JOIN clients AS T2 ON T1.client_id = T2.client_id JOIN staff_in_meetings AS T3 ON T1.meeting_id = T3.meeting_id JOIN staff AS T4 ON T3.staff_id = T4.staff_id
[ "What", "are", "the", "start", "and", "end", "times", "of", "each", "meeting", ",", "as", "well", "as", "the", "corresponding", "client", "and", "staff", "details", "the", "attendees", "?" ]
[ { "id": 5, "type": "table", "value": "staff_in_meetings" }, { "id": 0, "type": "column", "value": "start_date_time" }, { "id": 2, "type": "column", "value": "client_details" }, { "id": 1, "type": "column", "value": "end_date_time" }, { "id": 3, "type": "column", "value": "staff_details" }, { "id": 9, "type": "column", "value": "meeting_id" }, { "id": 10, "type": "column", "value": "client_id" }, { "id": 6, "type": "column", "value": "staff_id" }, { "id": 7, "type": "table", "value": "meetings" }, { "id": 8, "type": "table", "value": "clients" }, { "id": 4, "type": "table", "value": "staff" } ]
[ { "entity_id": 0, "token_idxs": [ 3, 4 ] }, { "entity_id": 1, "token_idxs": [ 5, 6 ] }, { "entity_id": 2, "token_idxs": [ 17 ] }, { "entity_id": 3, "token_idxs": [ 19 ] }, { "entity_id": 4, "token_idxs": [ 18 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [ 9 ] }, { "entity_id": 8, "token_idxs": [ 16 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "I-COLUMN", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "B-TABLE", "B-COLUMN", "O", "O", "O" ]
14,134
program_share
spider:train_spider.json:3754
find the program owners that have some programs in both morning and night time.
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"
[ "find", "the", "program", "owners", "that", "have", "some", "programs", "in", "both", "morning", "and", "night", "time", "." ]
[ { "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" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 10 ] }, { "entity_id": 5, "token_idxs": [ 12 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O" ]
14,135
mondial_geo
bird:train.json:8429
What is the name of Anguilla's capital, and where is it located?
SELECT Capital, Province FROM country WHERE Name = 'Anguilla'
[ "What", "is", "the", "name", "of", "Anguilla", "'s", "capital", ",", "and", "where", "is", "it", "located", "?" ]
[ { "id": 2, "type": "column", "value": "province" }, { "id": 4, "type": "value", "value": "Anguilla" }, { "id": 0, "type": "table", "value": "country" }, { "id": 1, "type": "column", "value": "capital" }, { "id": 3, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 7 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 3 ] }, { "entity_id": 4, "token_idxs": [ 5 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O" ]
14,136
olympics
bird:train.json:4917
Please list the names of all the Olympic competitors from Finland.
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland'
[ "Please", "list", "the", "names", "of", "all", "the", "Olympic", "competitors", "from", "Finland", "." ]
[ { "id": 5, "type": "table", "value": "person_region" }, { "id": 2, "type": "column", "value": "region_name" }, { "id": 4, "type": "table", "value": "noc_region" }, { "id": 0, "type": "column", "value": "full_name" }, { "id": 6, "type": "column", "value": "person_id" }, { "id": 8, "type": "column", "value": "region_id" }, { "id": 3, "type": "value", "value": "Finland" }, { "id": 1, "type": "table", "value": "person" }, { "id": 7, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "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", "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "O" ]
14,137
airline
bird:train.json:5901
From August 10 to August 20, 2018, how many cancelled flights of air carrier named Spirit Air Lines: NK are there?
SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Spirit Air Lines: NK' AND T2.CANCELLED = 0 AND T2.FL_DATE BETWEEN '2018/8/10' AND '2018/8/20'
[ "From", "August", "10", "to", "August", "20", ",", "2018", ",", "how", "many", "cancelled", "flights", "of", "air", "carrier", "named", "Spirit", "Air", "Lines", ":", "NK", "are", "there", "?" ]
[ { "id": 3, "type": "column", "value": "op_carrier_airline_id" }, { "id": 5, "type": "value", "value": "Spirit Air Lines: NK" }, { "id": 0, "type": "table", "value": "Air Carriers" }, { "id": 4, "type": "column", "value": "description" }, { "id": 6, "type": "column", "value": "cancelled" }, { "id": 9, "type": "value", "value": "2018/8/10" }, { "id": 10, "type": "value", "value": "2018/8/20" }, { "id": 1, "type": "table", "value": "airlines" }, { "id": 8, "type": "column", "value": "fl_date" }, { "id": 2, "type": "column", "value": "code" }, { "id": 7, "type": "value", "value": "0" } ]
[ { "entity_id": 0, "token_idxs": [ 14, 15 ] }, { "entity_id": 1, "token_idxs": [ 18, 19 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 16 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 17, 20, 21 ] }, { "entity_id": 6, "token_idxs": [ 11 ] }, { "entity_id": 7, "token_idxs": [ 5 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [ 7 ] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "I-TABLE", "B-COLUMN", "B-VALUE", "B-TABLE", "I-TABLE", "B-VALUE", "I-VALUE", "O", "O", "O" ]
14,138
mondial_geo
bird:train.json:8286
What kind of government does Iran have?
SELECT T2.Government FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Iran'
[ "What", "kind", "of", "government", "does", "Iran", "have", "?" ]
[ { "id": 0, "type": "column", "value": "government" }, { "id": 2, "type": "table", "value": "politics" }, { "id": 1, "type": "table", "value": "country" }, { "id": 6, "type": "column", "value": "country" }, { "id": 3, "type": "column", "value": "name" }, { "id": 4, "type": "value", "value": "Iran" }, { "id": 5, "type": "column", "value": "code" } ]
[ { "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": [ 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", "B-COLUMN", "O", "B-VALUE", "O", "O" ]
14,139
cre_Doc_and_collections
bird:test.json:709
Which unique subset does document owned by Braeden belong to? List the subset name.
SELECT DISTINCT T1.Document_Subset_Name FROM Document_Subsets AS T1 JOIN Document_Subset_Members AS T2 ON T1.Document_Subset_ID = T2.Document_Subset_ID JOIN Document_Objects AS T3 ON T2.Document_Object_ID = T3.Document_Object_ID WHERE T3.owner = 'Braeden'
[ "Which", "unique", "subset", "does", "document", "owned", "by", "Braeden", "belong", "to", "?", "List", "the", "subset", "name", "." ]
[ { "id": 5, "type": "table", "value": "document_subset_members" }, { "id": 0, "type": "column", "value": "document_subset_name" }, { "id": 6, "type": "column", "value": "document_object_id" }, { "id": 7, "type": "column", "value": "document_subset_id" }, { "id": 1, "type": "table", "value": "document_objects" }, { "id": 4, "type": "table", "value": "document_subsets" }, { "id": 3, "type": "value", "value": "Braeden" }, { "id": 2, "type": "column", "value": "owner" } ]
[ { "entity_id": 0, "token_idxs": [ 13, 14 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [ 7 ] }, { "entity_id": 4, "token_idxs": [ 4 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "B-VALUE", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,140
shipping
bird:train.json:5656
How many shipments did Zachery Hicks transport goods to New York in the year 2016?
SELECT COUNT(*) FROM city AS T1 INNER JOIN shipment AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T3.first_name = 'Zachery' AND T3.last_name = 'Hicks' AND T1.city_name = 'New York' AND STRFTIME('%Y', T2.ship_date) = '2016'
[ "How", "many", "shipments", "did", "Zachery", "Hicks", "transport", "goods", "to", "New", "York", "in", "the", "year", "2016", "?" ]
[ { "id": 4, "type": "column", "value": "first_name" }, { "id": 3, "type": "column", "value": "driver_id" }, { "id": 6, "type": "column", "value": "last_name" }, { "id": 8, "type": "column", "value": "city_name" }, { "id": 13, "type": "column", "value": "ship_date" }, { "id": 2, "type": "table", "value": "shipment" }, { "id": 9, "type": "value", "value": "New York" }, { "id": 5, "type": "value", "value": "Zachery" }, { "id": 11, "type": "column", "value": "city_id" }, { "id": 0, "type": "table", "value": "driver" }, { "id": 7, "type": "value", "value": "Hicks" }, { "id": 1, "type": "table", "value": "city" }, { "id": 10, "type": "value", "value": "2016" }, { "id": 12, "type": "value", "value": "%Y" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 2 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 4 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [ 5 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [ 9, 10 ] }, { "entity_id": 10, "token_idxs": [ 14 ] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "O", "B-VALUE", "B-VALUE", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "O", "B-VALUE", "O" ]
14,141
cre_Drama_Workshop_Groups
spider:train_spider.json:5165
What are the names of the clients who do not have any booking?
SELECT Customer_Name FROM Clients EXCEPT SELECT T2.Customer_Name FROM Bookings AS T1 JOIN Clients AS T2 ON T1.Customer_ID = T2.Client_ID
[ "What", "are", "the", "names", "of", "the", "clients", "who", "do", "not", "have", "any", "booking", "?" ]
[ { "id": 1, "type": "column", "value": "customer_name" }, { "id": 3, "type": "column", "value": "customer_id" }, { "id": 4, "type": "column", "value": "client_id" }, { "id": 2, "type": "table", "value": "bookings" }, { "id": 0, "type": "table", "value": "clients" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 12 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-TABLE", "O" ]
14,142
airline
bird:train.json:5907
Provide the air carrier description of the flight with a tail number N922US from Phoenix.
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description
[ "Provide", "the", "air", "carrier", "description", "of", "the", "flight", "with", "a", "tail", "number", "N922US", "from", "Phoenix", "." ]
[ { "id": 4, "type": "column", "value": "op_carrier_airline_id" }, { "id": 2, "type": "table", "value": "Air Carriers" }, { "id": 0, "type": "column", "value": "description" }, { "id": 1, "type": "table", "value": "airlines" }, { "id": 5, "type": "column", "value": "tail_num" }, { "id": 6, "type": "value", "value": "N922US" }, { "id": 7, "type": "column", "value": "origin" }, { "id": 3, "type": "column", "value": "code" }, { "id": 8, "type": "value", "value": "PHX" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 2, 3 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 10, 11 ] }, { "entity_id": 6, "token_idxs": [ 12 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [ 14 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "I-TABLE", "B-COLUMN", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "B-VALUE", "O", "B-VALUE", "O" ]
14,143
works_cycles
bird:train.json:7373
Which territory has the greatest difference in sales from previous year to this year? Indicate the difference, as well as the name and country of the region.
SELECT SalesLastYear - SalesYTD, Name, CountryRegionCode FROM SalesTerritory ORDER BY SalesLastYear - SalesYTD DESC LIMIT 1
[ "Which", "territory", "has", "the", "greatest", "difference", "in", "sales", "from", "previous", "year", "to", "this", "year", "?", "Indicate", "the", "difference", ",", "as", "well", "as", "the", "name", "and", "country", "of", "the", "region", "." ]
[ { "id": 2, "type": "column", "value": "countryregioncode" }, { "id": 0, "type": "table", "value": "salesterritory" }, { "id": 3, "type": "column", "value": "saleslastyear" }, { "id": 4, "type": "column", "value": "salesytd" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [ 1 ] }, { "entity_id": 1, "token_idxs": [ 23 ] }, { "entity_id": 2, "token_idxs": [ 25, 26, 27, 28 ] }, { "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", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "I-COLUMN", "O" ]
14,144
retails
bird:train.json:6721
How much is the profit for smoke turquoise purple blue salmon that was delivered in person on 5/7/1996?
SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity AS num FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey INNER JOIN part AS T3 ON T2.ps_partkey = T3.p_partkey WHERE T1.l_receiptdate = '1996-05-07' AND T1.l_shipinstruct = 'DELIVER IN PERSON' AND T3.p_name = 'smoke turquoise purple blue salmon'
[ "How", "much", "is", "the", "profit", "for", "smoke", "turquoise", "purple", "blue", "salmon", "that", "was", "delivered", "in", "person", "on", "5/7/1996", "?" ]
[ { "id": 10, "type": "value", "value": "smoke turquoise purple blue salmon" }, { "id": 8, "type": "value", "value": "DELIVER IN PERSON" }, { "id": 11, "type": "column", "value": "l_extendedprice" }, { "id": 7, "type": "column", "value": "l_shipinstruct" }, { "id": 5, "type": "column", "value": "l_receiptdate" }, { "id": 12, "type": "column", "value": "ps_supplycost" }, { "id": 3, "type": "column", "value": "ps_partkey" }, { "id": 6, "type": "value", "value": "1996-05-07" }, { "id": 13, "type": "column", "value": "l_quantity" }, { "id": 15, "type": "column", "value": "ps_suppkey" }, { "id": 17, "type": "column", "value": "l_discount" }, { "id": 4, "type": "column", "value": "p_partkey" }, { "id": 14, "type": "column", "value": "l_suppkey" }, { "id": 1, "type": "table", "value": "lineitem" }, { "id": 2, "type": "table", "value": "partsupp" }, { "id": 9, "type": "column", "value": "p_name" }, { "id": 0, "type": "table", "value": "part" }, { "id": 16, "type": "value", "value": "1" } ]
[ { "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": [ 13, 14, 15 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [ 6, 7, 8, 9, 10 ] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-TABLE", "O", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "O", "O", "B-VALUE", "I-VALUE", "I-VALUE", "O", "O", "O" ]
14,145
real_estate_rentals
bird:test.json:1437
What are the login names of all senior citizens, sorted by first name?
SELECT login_name FROM Users WHERE user_category_code = 'Senior Citizen' ORDER BY first_name
[ "What", "are", "the", "login", "names", "of", "all", "senior", "citizens", ",", "sorted", "by", "first", "name", "?" ]
[ { "id": 2, "type": "column", "value": "user_category_code" }, { "id": 3, "type": "value", "value": "Senior Citizen" }, { "id": 1, "type": "column", "value": "login_name" }, { "id": 4, "type": "column", "value": "first_name" }, { "id": 0, "type": "table", "value": "users" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 3, 4 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 7, 8 ] }, { "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": [] } ]
[ "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,146
riding_club
spider:train_spider.json:1724
What is the name of the player with the largest number of votes?
SELECT Player_name FROM player ORDER BY Votes DESC LIMIT 1
[ "What", "is", "the", "name", "of", "the", "player", "with", "the", "largest", "number", "of", "votes", "?" ]
[ { "id": 1, "type": "column", "value": "player_name" }, { "id": 0, "type": "table", "value": "player" }, { "id": 2, "type": "column", "value": "votes" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 12 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "O" ]
14,147
mondial_geo
bird:train.json:8264
Among the countries whose GDP is over 1000000, how many of them have a population groth rate of over 3%?
SELECT COUNT(T1.Country) FROM economy AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE T1.GDP > 1000000 AND T2.Population_Growth > 3
[ "Among", "the", "countries", "whose", "GDP", "is", "over", "1000000", ",", "how", "many", "of", "them", "have", "a", "population", "groth", "rate", "of", "over", "3", "%", "?" ]
[ { "id": 5, "type": "column", "value": "population_growth" }, { "id": 1, "type": "table", "value": "population" }, { "id": 0, "type": "table", "value": "economy" }, { "id": 2, "type": "column", "value": "country" }, { "id": 4, "type": "value", "value": "1000000" }, { "id": 3, "type": "column", "value": "gdp" }, { "id": 6, "type": "value", "value": "3" } ]
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[ "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-VALUE", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "B-VALUE", "O", "O" ]
14,148
hockey
bird:train.json:7693
Among the players who had 10 empty net goals in their career, who is the tallest? Show his full name.
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID GROUP BY T2.playerID, T1.height HAVING SUM(T2.ENG) > 10 ORDER BY T1.height DESC LIMIT 1
[ "Among", "the", "players", "who", "had", "10", "empty", "net", "goals", "in", "their", "career", ",", "who", "is", "the", "tallest", "?", "Show", "his", "full", "name", "." ]
[ { "id": 2, "type": "column", "value": "firstname" }, { "id": 0, "type": "column", "value": "playerid" }, { "id": 3, "type": "column", "value": "lastname" }, { "id": 5, "type": "table", "value": "goalies" }, { "id": 1, "type": "column", "value": "height" }, { "id": 4, "type": "table", "value": "master" }, { "id": 7, "type": "column", "value": "eng" }, { "id": 6, "type": "value", "value": "10" } ]
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[ "O", "O", "B-COLUMN", "O", "O", "B-VALUE", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O" ]
14,149
mondial_geo
bird:train.json:8325
List the all the cities and its city population for provinces with population more than 1000000.
SELECT T1.Name, T1.Population FROM city AS T1 INNER JOIN province AS T2 ON T2.Name = T1.Province WHERE T2.Population > 1000000
[ "List", "the", "all", "the", "cities", "and", "its", "city", "population", "for", "provinces", "with", "population", "more", "than", "1000000", "." ]
[ { "id": 1, "type": "column", "value": "population" }, { "id": 3, "type": "table", "value": "province" }, { "id": 5, "type": "column", "value": "province" }, { "id": 4, "type": "value", "value": "1000000" }, { "id": 0, "type": "column", "value": "name" }, { "id": 2, "type": "table", "value": "city" } ]
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[ "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-VALUE", "O" ]
14,150
advertising_agencies
bird:test.json:2080
What are the agency ids and agency details for all agencies who have a client?
SELECT T1.agency_id , T1.agency_details FROM Agencies AS T1 JOIN Clients AS T2 ON T1.agency_id = T2.agency_id
[ "What", "are", "the", "agency", "ids", "and", "agency", "details", "for", "all", "agencies", "who", "have", "a", "client", "?" ]
[ { "id": 1, "type": "column", "value": "agency_details" }, { "id": 0, "type": "column", "value": "agency_id" }, { "id": 2, "type": "table", "value": "agencies" }, { "id": 3, "type": "table", "value": "clients" } ]
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[ "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "B-TABLE", "O" ]
14,151
soccer_1
spider:train_spider.json:1303
List all of the player ids with a height of at least 180cm and an overall rating higher than 85.
SELECT player_api_id FROM Player WHERE height >= 180 INTERSECT SELECT player_api_id FROM Player_Attributes WHERE overall_rating > 85
[ "List", "all", "of", "the", "player", "ids", "with", "a", "height", "of", "at", "least", "180", "cm", "and", "an", "overall", "rating", "higher", "than", "85", "." ]
[ { "id": 1, "type": "table", "value": "player_attributes" }, { "id": 5, "type": "column", "value": "overall_rating" }, { "id": 2, "type": "column", "value": "player_api_id" }, { "id": 0, "type": "table", "value": "player" }, { "id": 3, "type": "column", "value": "height" }, { "id": 4, "type": "value", "value": "180" }, { "id": 6, "type": "value", "value": "85" } ]
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[ "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-VALUE", "O" ]
14,152
allergy_1
spider:train_spider.json:459
How many students are there?
SELECT count(*) FROM Student
[ "How", "many", "students", "are", "there", "?" ]
[ { "id": 0, "type": "table", "value": "student" } ]
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[ "O", "O", "B-TABLE", "O", "O", "O" ]
14,154
college_2
spider:train_spider.json:1367
What are the ids of instructors who taught in the Fall of 2009 but not in the Spring of 2010?
SELECT id FROM teaches WHERE semester = 'Fall' AND YEAR = 2009 EXCEPT SELECT id FROM teaches WHERE semester = 'Spring' AND YEAR = 2010
[ "What", "are", "the", "ids", "of", "instructors", "who", "taught", "in", "the", "Fall", "of", "2009", "but", "not", "in", "the", "Spring", "of", "2010", "?" ]
[ { "id": 2, "type": "column", "value": "semester" }, { "id": 0, "type": "table", "value": "teaches" }, { "id": 6, "type": "value", "value": "Spring" }, { "id": 3, "type": "value", "value": "Fall" }, { "id": 4, "type": "column", "value": "year" }, { "id": 5, "type": "value", "value": "2009" }, { "id": 7, "type": "value", "value": "2010" }, { "id": 1, "type": "column", "value": "id" } ]
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[ "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "O", "O", "B-TABLE", "B-VALUE", "O", "B-VALUE", "O" ]
14,155
movies_4
bird:train.json:560
How many main actors are there in the movie Pirates of the Caribbean: At World's End?
SELECT COUNT(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' AND T2.cast_order = ( SELECT MIN(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' )
[ "How", "many", "main", "actors", "are", "there", "in", "the", "movie", "Pirates", "of", "the", "Caribbean", ":", "At", "World", "'s", "End", "?" ]
[ { "id": 10, "type": "value", "value": "Pirates of the Caribbean: At World's End" }, { "id": 1, "type": "column", "value": "cast_order" }, { "id": 3, "type": "table", "value": "movie_cast" }, { "id": 4, "type": "column", "value": "gender_id" }, { "id": 7, "type": "column", "value": "movie_id" }, { "id": 0, "type": "table", "value": "gender" }, { "id": 5, "type": "column", "value": "gender" }, { "id": 8, "type": "value", "value": "Female" }, { "id": 2, "type": "table", "value": "movie" }, { "id": 9, "type": "column", "value": "title" }, { "id": 6, "type": "value", "value": "Male" } ]
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[ "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "B-COLUMN", "O" ]
14,157
sales
bird:train.json:5435
In customers with the first name of Erica, how many of them bought a quantity below 200?
SELECT COUNT(T1.ProductID) FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Erica' AND T1.Quantity < 200
[ "In", "customers", "with", "the", "first", "name", "of", "Erica", ",", "how", "many", "of", "them", "bought", "a", "quantity", "below", "200", "?" ]
[ { "id": 3, "type": "column", "value": "customerid" }, { "id": 1, "type": "table", "value": "customers" }, { "id": 2, "type": "column", "value": "productid" }, { "id": 4, "type": "column", "value": "firstname" }, { "id": 6, "type": "column", "value": "quantity" }, { "id": 0, "type": "table", "value": "sales" }, { "id": 5, "type": "value", "value": "Erica" }, { "id": 7, "type": "value", "value": "200" } ]
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[ "O", "B-TABLE", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-VALUE", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O" ]
14,158
student_loan
bird:train.json:4437
State name of unemployed students who have the longest duration of absense from school.
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name ORDER BY T1.month DESC LIMIT 1
[ "State", "name", "of", "unemployed", "students", "who", "have", "the", "longest", "duration", "of", "absense", "from", "school", "." ]
[ { "id": 1, "type": "table", "value": "longest_absense_from_school" }, { "id": 2, "type": "table", "value": "unemployed" }, { "id": 3, "type": "column", "value": "month" }, { "id": 0, "type": "column", "value": "name" } ]
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[ "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "I-TABLE", "O" ]
14,159
formula_1
bird:dev.json:954
Please calculate the race completion percentage of Japanese drivers from 2007 to 2009.
SELECT CAST(SUM(IIF(T1.time IS NOT NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.raceId) FROM results AS T1 INNER JOIN races AS T2 on T1.raceId = T2.raceId INNER JOIN drivers AS T3 on T1.driverId = T3.driverId WHERE T3.nationality = 'Japanese' AND T2.year BETWEEN 2007 AND 2009
[ "Please", "calculate", "the", "race", "completion", "percentage", "of", "Japanese", "drivers", "from", "2007", "to", "2009", "." ]
[ { "id": 4, "type": "column", "value": "nationality" }, { "id": 3, "type": "column", "value": "driverid" }, { "id": 5, "type": "value", "value": "Japanese" }, { "id": 0, "type": "table", "value": "drivers" }, { "id": 1, "type": "table", "value": "results" }, { "id": 10, "type": "column", "value": "raceid" }, { "id": 2, "type": "table", "value": "races" }, { "id": 6, "type": "column", "value": "year" }, { "id": 7, "type": "value", "value": "2007" }, { "id": 8, "type": "value", "value": "2009" }, { "id": 13, "type": "column", "value": "time" }, { "id": 9, "type": "value", "value": "100" }, { "id": 11, "type": "value", "value": "1" }, { "id": 12, "type": "value", "value": "0" } ]
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[ "O", "O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "B-TABLE", "O", "B-VALUE", "O", "B-VALUE", "O" ]
14,160
flight_4
spider:train_spider.json:6864
For each country, what is the average elevation of that country's airports?
SELECT avg(elevation) , country FROM airports GROUP BY country
[ "For", "each", "country", ",", "what", "is", "the", "average", "elevation", "of", "that", "country", "'s", "airports", "?" ]
[ { "id": 2, "type": "column", "value": "elevation" }, { "id": 0, "type": "table", "value": "airports" }, { "id": 1, "type": "column", "value": "country" } ]
[ { "entity_id": 0, "token_idxs": [ 13 ] }, { "entity_id": 1, "token_idxs": [ 11 ] }, { "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", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "B-COLUMN", "O", "B-TABLE", "O" ]
14,162
warehouse_1
bird:test.json:1697
Select the average value of all the boxes.
SELECT avg(value) FROM boxes
[ "Select", "the", "average", "value", "of", "all", "the", "boxes", "." ]
[ { "id": 0, "type": "table", "value": "boxes" }, { "id": 1, "type": "column", "value": "value" } ]
[ { "entity_id": 0, "token_idxs": [ 7 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "O", "B-TABLE", "O" ]
14,163
e_commerce
bird:test.json:111
What is the least common order status?
SELECT order_status_code FROM Orders GROUP BY order_status_code ORDER BY count(*) LIMIT 1
[ "What", "is", "the", "least", "common", "order", "status", "?" ]
[ { "id": 1, "type": "column", "value": "order_status_code" }, { "id": 0, "type": "table", "value": "orders" } ]
[ { "entity_id": 0, "token_idxs": [ 5 ] }, { "entity_id": 1, "token_idxs": [ 6 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O" ]
14,164
card_games
bird:dev.json:489
List the keyrune code for the set whose code is 'PKHC'.
SELECT keyruneCode FROM sets WHERE code = 'PKHC'
[ "List", "the", "keyrune", "code", "for", "the", "set", "whose", "code", "is", "'", "PKHC", "'", "." ]
[ { "id": 1, "type": "column", "value": "keyrunecode" }, { "id": 0, "type": "table", "value": "sets" }, { "id": 2, "type": "column", "value": "code" }, { "id": 3, "type": "value", "value": "PKHC" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "entity_id": 2, "token_idxs": [ 3 ] }, { "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", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-VALUE", "O", "O" ]
14,167
professional_basketball
bird:train.json:2817
How many total minutes has the Brooklyn-born player, known by the name of Superman, played during all of his NBA All-Star seasons?
SELECT SUM(T2.minutes) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Brooklyn' AND T1.nameNick LIKE '%Superman%'
[ "How", "many", "total", "minutes", "has", "the", "Brooklyn", "-", "born", "player", ",", "known", "by", "the", "name", "of", "Superman", ",", "played", "during", "all", "of", "his", "NBA", "All", "-", "Star", "seasons", "?" ]
[ { "id": 1, "type": "table", "value": "player_allstar" }, { "id": 7, "type": "value", "value": "%Superman%" }, { "id": 4, "type": "column", "value": "birthcity" }, { "id": 3, "type": "column", "value": "playerid" }, { "id": 5, "type": "value", "value": "Brooklyn" }, { "id": 6, "type": "column", "value": "namenick" }, { "id": 0, "type": "table", "value": "players" }, { "id": 2, "type": "column", "value": "minutes" } ]
[ { "entity_id": 0, "token_idxs": [ 9 ] }, { "entity_id": 1, "token_idxs": [ 24, 25, 26 ] }, { "entity_id": 2, "token_idxs": [ 3 ] }, { "entity_id": 3, "token_idxs": [ 18 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 6 ] }, { "entity_id": 6, "token_idxs": [ 14 ] }, { "entity_id": 7, "token_idxs": [ 16 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "B-VALUE", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O", "B-COLUMN", "O", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "I-TABLE", "O", "O" ]
14,168
dorm_1
spider:train_spider.json:5762
Find the first and last name of students who are living in the dorms that have amenity TV Lounge.
SELECT T1.fname , T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge')
[ "Find", "the", "first", "and", "last", "name", "of", "students", "who", "are", "living", "in", "the", "dorms", "that", "have", "amenity", "TV", "Lounge", "." ]
[ { "id": 7, "type": "table", "value": "dorm_amenity" }, { "id": 8, "type": "column", "value": "amenity_name" }, { "id": 6, "type": "table", "value": "has_amenity" }, { "id": 9, "type": "value", "value": "TV Lounge" }, { "id": 3, "type": "table", "value": "lives_in" }, { "id": 2, "type": "table", "value": "student" }, { "id": 4, "type": "column", "value": "dormid" }, { "id": 10, "type": "column", "value": "amenid" }, { "id": 0, "type": "column", "value": "fname" }, { "id": 1, "type": "column", "value": "lname" }, { "id": 5, "type": "column", "value": "stuid" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 5 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 10 ] }, { "entity_id": 4, "token_idxs": [ 13 ] }, { "entity_id": 5, "token_idxs": [ 7 ] }, { "entity_id": 6, "token_idxs": [ 15 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [ 17, 18 ] }, { "entity_id": 10, "token_idxs": [ 16 ] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "B-TABLE", "B-COLUMN", "B-VALUE", "I-VALUE", "O" ]
14,169
language_corpus
bird:train.json:5782
What's the occurrence of the biwords pair whose first word is "àbac" and second word is "xinès"?
SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' )
[ "What", "'s", "the", "occurrence", "of", "the", "biwords", "pair", "whose", "first", "word", "is", "\"", "àbac", "\"", "and", "second", "word", "is", "\"", "xinès", "\"", "?" ]
[ { "id": 1, "type": "column", "value": "occurrences" }, { "id": 0, "type": "table", "value": "biwords" }, { "id": 4, "type": "table", "value": "words" }, { "id": 8, "type": "value", "value": "xinès" }, { "id": 2, "type": "column", "value": "w1st" }, { "id": 3, "type": "column", "value": "w2nd" }, { "id": 6, "type": "column", "value": "word" }, { "id": 7, "type": "value", "value": "àbac" }, { "id": 5, "type": "column", "value": "wid" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [ 10 ] }, { "entity_id": 7, "token_idxs": [ 13 ] }, { "entity_id": 8, "token_idxs": [ 20 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "O", "O", "B-VALUE", "O", "O", "O", "O", "O", "O", "B-VALUE", "O", "O" ]
14,170
music_2
spider:train_spider.json:5201
What are the names of the songs whose title has the word "the"?
SELECT title FROM songs WHERE title LIKE '% the %'
[ "What", "are", "the", "names", "of", "the", "songs", "whose", "title", "has", "the", "word", "\"", "the", "\"", "?" ]
[ { "id": 2, "type": "value", "value": "% the %" }, { "id": 0, "type": "table", "value": "songs" }, { "id": 1, "type": "column", "value": "title" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 8 ] }, { "entity_id": 2, "token_idxs": [ 4, 5 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-VALUE", "I-VALUE", "B-TABLE", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O" ]
14,171
toxicology
bird:dev.json:287
Among all chemical compounds that contain molecule TR047, identify the percent that form a double-bond.
SELECT CAST(COUNT(CASE WHEN T.bond_type = '=' THEN T.bond_id ELSE NULL END) AS REAL) * 100 / COUNT(T.bond_id) FROM bond AS T WHERE T.molecule_id = 'TR047'
[ "Among", "all", "chemical", "compounds", "that", "contain", "molecule", "TR047", ",", "identify", "the", "percent", "that", "form", "a", "double", "-", "bond", "." ]
[ { "id": 1, "type": "column", "value": "molecule_id" }, { "id": 5, "type": "column", "value": "bond_type" }, { "id": 4, "type": "column", "value": "bond_id" }, { "id": 2, "type": "value", "value": "TR047" }, { "id": 0, "type": "table", "value": "bond" }, { "id": 3, "type": "value", "value": "100" }, { "id": 6, "type": "value", "value": "=" } ]
[ { "entity_id": 0, "token_idxs": [ 17 ] }, { "entity_id": 1, "token_idxs": [ 6 ] }, { "entity_id": 2, "token_idxs": [ 7 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-COLUMN", "B-VALUE", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O" ]
14,172
thrombosis_prediction
bird:dev.json:1271
How many patients with a normal anti-SSA came to the hospital before 2000?
SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.SSA IN ('negative', '0') AND STRFTIME('%Y', T2.Date) < '2000'
[ "How", "many", "patients", "with", "a", "normal", "anti", "-", "SSA", "came", "to", "the", "hospital", "before", "2000", "?" ]
[ { "id": 1, "type": "table", "value": "laboratory" }, { "id": 4, "type": "value", "value": "negative" }, { "id": 0, "type": "table", "value": "patient" }, { "id": 6, "type": "value", "value": "2000" }, { "id": 8, "type": "column", "value": "date" }, { "id": 3, "type": "column", "value": "ssa" }, { "id": 2, "type": "column", "value": "id" }, { "id": 7, "type": "value", "value": "%Y" }, { "id": 5, "type": "value", "value": "0" } ]
[ { "entity_id": 0, "token_idxs": [ 2 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 8 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [ 14 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "B-VALUE", "O" ]
14,173
warehouse_1
bird:test.json:1751
Find the number of boxes saved in each warehouse.
SELECT count(*) , warehouse FROM boxes GROUP BY warehouse
[ "Find", "the", "number", "of", "boxes", "saved", "in", "each", "warehouse", "." ]
[ { "id": 1, "type": "column", "value": "warehouse" }, { "id": 0, "type": "table", "value": "boxes" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [ 8 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "O" ]
14,174
cre_Docs_and_Epenses
spider:train_spider.json:6434
What are the ids and details for each project?
SELECT project_id , project_details FROM Projects
[ "What", "are", "the", "ids", "and", "details", "for", "each", "project", "?" ]
[ { "id": 2, "type": "column", "value": "project_details" }, { "id": 1, "type": "column", "value": "project_id" }, { "id": 0, "type": "table", "value": "projects" } ]
[ { "entity_id": 0, "token_idxs": [ 8 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O" ]
14,175
legislator
bird:train.json:4895
Please list the full official names of all the current legislators who served the term that started on 2013/1/3.
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03'
[ "Please", "list", "the", "full", "official", "names", "of", "all", "the", "current", "legislators", "who", "served", "the", "term", "that", "started", "on", "2013/1/3", "." ]
[ { "id": 0, "type": "column", "value": "official_full_name" }, { "id": 2, "type": "table", "value": "current-terms" }, { "id": 5, "type": "column", "value": "bioguide_id" }, { "id": 4, "type": "value", "value": "2013-01-03" }, { "id": 6, "type": "column", "value": "bioguide" }, { "id": 1, "type": "table", "value": "current" }, { "id": 3, "type": "column", "value": "start" } ]
[ { "entity_id": 0, "token_idxs": [ 4, 5 ] }, { "entity_id": 1, "token_idxs": [ 9 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 16 ] }, { "entity_id": 4, "token_idxs": [ 18 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_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", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O" ]
14,176
restaurant_bills
bird:test.json:623
Find the average card credit customers whose membership level is above 1.
SELECT avg(Card_Credit) FROM customer WHERE Level_of_Membership > 1
[ "Find", "the", "average", "card", "credit", "customers", "whose", "membership", "level", "is", "above", "1", "." ]
[ { "id": 1, "type": "column", "value": "level_of_membership" }, { "id": 3, "type": "column", "value": "card_credit" }, { "id": 0, "type": "table", "value": "customer" }, { "id": 2, "type": "value", "value": "1" } ]
[ { "entity_id": 0, "token_idxs": [ 5 ] }, { "entity_id": 1, "token_idxs": [ 7 ] }, { "entity_id": 2, "token_idxs": [ 11 ] }, { "entity_id": 3, "token_idxs": [ 3, 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", "B-COLUMN", "I-COLUMN", "B-TABLE", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O" ]
14,177
movie_platform
bird:train.json:148
For the list with more than 200 followers, state the title and how long the list has been created?
SELECT list_title , 365 * (strftime('%Y', 'now') - strftime('%Y', list_creation_timestamp_utc)) + 30 * (strftime('%m', 'now') - strftime('%m', list_creation_timestamp_utc)) + strftime('%d', 'now') - strftime('%d', list_creation_timestamp_utc) FROM lists WHERE list_followers > 200
[ "For", "the", "list", "with", "more", "than", "200", "followers", ",", "state", "the", "title", "and", "how", "long", "the", "list", "has", "been", "created", "?" ]
[ { "id": 5, "type": "column", "value": "list_creation_timestamp_utc" }, { "id": 2, "type": "column", "value": "list_followers" }, { "id": 1, "type": "column", "value": "list_title" }, { "id": 0, "type": "table", "value": "lists" }, { "id": 3, "type": "value", "value": "200" }, { "id": 6, "type": "value", "value": "now" }, { "id": 7, "type": "value", "value": "365" }, { "id": 4, "type": "value", "value": "%d" }, { "id": 8, "type": "value", "value": "30" }, { "id": 9, "type": "value", "value": "%Y" }, { "id": 10, "type": "value", "value": "%m" } ]
[ { "entity_id": 0, "token_idxs": [ 16 ] }, { "entity_id": 1, "token_idxs": [ 11 ] }, { "entity_id": 2, "token_idxs": [ 7 ] }, { "entity_id": 3, "token_idxs": [ 6 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [ 13 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-VALUE", "B-COLUMN", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O", "O", "B-TABLE", "O", "O", "O", "O" ]
14,178
dorm_1
spider:train_spider.json:5707
What is the last name of every student who is either female or living in a city with the code BAL or male and under 20?
SELECT lname FROM student WHERE sex = 'F' AND city_code = 'BAL' UNION SELECT lname FROM student WHERE sex = 'M' AND age < 20
[ "What", "is", "the", "last", "name", "of", "every", "student", "who", "is", "either", "female", "or", "living", "in", "a", "city", "with", "the", "code", "BAL", "or", "male", "and", "under", "20", "?" ]
[ { "id": 4, "type": "column", "value": "city_code" }, { "id": 0, "type": "table", "value": "student" }, { "id": 1, "type": "column", "value": "lname" }, { "id": 2, "type": "column", "value": "sex" }, { "id": 5, "type": "value", "value": "BAL" }, { "id": 7, "type": "column", "value": "age" }, { "id": 8, "type": "value", "value": "20" }, { "id": 3, "type": "value", "value": "F" }, { "id": 6, "type": "value", "value": "M" } ]
[ { "entity_id": 0, "token_idxs": [ 7 ] }, { "entity_id": 1, "token_idxs": [ 4 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 5 ] }, { "entity_id": 4, "token_idxs": [ 19 ] }, { "entity_id": 5, "token_idxs": [ 20 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [ 25 ] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-COLUMN", "B-VALUE", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "B-VALUE", "O", "O", "O", "O", "B-VALUE", "O" ]
14,179
software_company
bird:train.json:8555
Among the male customer in their twenties, how many are from places where the average income is more than 3000?
SELECT COUNT(T2.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T2.INCOME_K > 3000 AND T1.age >= 20 AND T1.age <= 29
[ "Among", "the", "male", "customer", "in", "their", "twenties", ",", "how", "many", "are", "from", "places", "where", "the", "average", "income", "is", "more", "than", "3000", "?" ]
[ { "id": 0, "type": "table", "value": "customers" }, { "id": 5, "type": "column", "value": "income_k" }, { "id": 1, "type": "table", "value": "demog" }, { "id": 2, "type": "column", "value": "geoid" }, { "id": 4, "type": "value", "value": "Male" }, { "id": 6, "type": "value", "value": "3000" }, { "id": 3, "type": "column", "value": "sex" }, { "id": 7, "type": "column", "value": "age" }, { "id": 8, "type": "value", "value": "20" }, { "id": 9, "type": "value", "value": "29" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [ 0 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 2 ] }, { "entity_id": 5, "token_idxs": [ 16 ] }, { "entity_id": 6, "token_idxs": [ 20 ] }, { "entity_id": 7, "token_idxs": [ 10 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "B-TABLE", "O", "B-VALUE", "B-TABLE", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O" ]
14,180
document_management
spider:train_spider.json:4501
Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed?
SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1
[ "Find", "the", "name", "of", "the", "document", "that", "has", "been", "accessed", "the", "greatest", "number", "of", "times", ",", "as", "well", "as", "the", "count", "of", "how", "many", "times", "it", "has", "been", "accessed", "?" ]
[ { "id": 1, "type": "column", "value": "document_name" }, { "id": 2, "type": "column", "value": "access_count" }, { "id": 0, "type": "table", "value": "documents" } ]
[ { "entity_id": 0, "token_idxs": [ 5 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 28 ] }, { "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", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O" ]
14,181
student_loan
bird:train.json:4443
How many students are disabled?
SELECT COUNT(name) FROM disabled
[ "How", "many", "students", "are", "disabled", "?" ]
[ { "id": 0, "type": "table", "value": "disabled" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "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" ]
14,182
works_cycles
bird:train.json:7446
What are the products with a large photo?
SELECT T2.ProductID FROM ProductPhoto AS T1 INNER JOIN ProductProductPhoto AS T2 ON T1.ProductPhotoID = T2.ProductPhotoID WHERE T1.LargePhotoFileName LIKE '%large.gif'
[ "What", "are", "the", "products", "with", "a", "large", "photo", "?" ]
[ { "id": 2, "type": "table", "value": "productproductphoto" }, { "id": 3, "type": "column", "value": "largephotofilename" }, { "id": 5, "type": "column", "value": "productphotoid" }, { "id": 1, "type": "table", "value": "productphoto" }, { "id": 4, "type": "value", "value": "%large.gif" }, { "id": 0, "type": "column", "value": "productid" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 7 ] }, { "entity_id": 4, "token_idxs": [ 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", "B-COLUMN", "O", "O", "B-VALUE", "B-COLUMN", "O" ]
14,183
book_publishing_company
bird:train.json:236
Calculate the average level difference between the Marketing editors hired by the US and non-US publishers?
SELECT (CAST(SUM(CASE WHEN T1.country = 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.country != 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country != 'USA' THEN 1 ELSE 0 END)) FROM publishers AS T1 INNER JOIN employee AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T2.job_id = T3.job_id WHERE T3.job_desc = 'Managing Editor'
[ "Calculate", "the", "average", "level", "difference", "between", "the", "Marketing", "editors", "hired", "by", "the", "US", "and", "non", "-", "US", "publishers", "?" ]
[ { "id": 2, "type": "value", "value": "Managing Editor" }, { "id": 3, "type": "table", "value": "publishers" }, { "id": 1, "type": "column", "value": "job_desc" }, { "id": 4, "type": "table", "value": "employee" }, { "id": 9, "type": "column", "value": "job_lvl" }, { "id": 10, "type": "column", "value": "country" }, { "id": 5, "type": "column", "value": "job_id" }, { "id": 6, "type": "column", "value": "pub_id" }, { "id": 0, "type": "table", "value": "jobs" }, { "id": 11, "type": "value", "value": "USA" }, { "id": 7, "type": "value", "value": "0" }, { "id": 8, "type": "value", "value": "1" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 7, 8 ] }, { "entity_id": 3, "token_idxs": [ 17 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [ 16 ] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "B-TABLE", "O" ]
14,184
store_product
spider:train_spider.json:4939
What are the names of all products that are not the most frequently-used maximum page size?
SELECT product FROM product WHERE product != (SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1)
[ "What", "are", "the", "names", "of", "all", "products", "that", "are", "not", "the", "most", "frequently", "-", "used", "maximum", "page", "size", "?" ]
[ { "id": 2, "type": "column", "value": "max_page_size" }, { "id": 0, "type": "table", "value": "product" }, { "id": 1, "type": "column", "value": "product" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 6 ] }, { "entity_id": 2, "token_idxs": [ 16, 17 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,185
warehouse_1
bird:test.json:1750
What are the codes of boxes stored in warehouses in Chicago?
SELECT T1.code FROM boxes AS T1 JOIN Warehouses AS T2 ON T1.warehouse = T2.code WHERE T2.location = 'Chicago'
[ "What", "are", "the", "codes", "of", "boxes", "stored", "in", "warehouses", "in", "Chicago", "?" ]
[ { "id": 2, "type": "table", "value": "warehouses" }, { "id": 5, "type": "column", "value": "warehouse" }, { "id": 3, "type": "column", "value": "location" }, { "id": 4, "type": "value", "value": "Chicago" }, { "id": 1, "type": "table", "value": "boxes" }, { "id": 0, "type": "column", "value": "code" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [ 5 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 10 ] }, { "entity_id": 5, "token_idxs": [ 8 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "B-VALUE", "O" ]
14,186
student_club
bird:dev.json:1326
How many members of the Student_Club have majored Environmental Engineering?
SELECT COUNT(T1.member_id) FROM member AS T1 INNER JOIN major AS T2 ON T1.link_to_major = T2.major_id WHERE T2.major_name = 'Environmental Engineering'
[ "How", "many", "members", "of", "the", "Student_Club", "have", "majored", "Environmental", "Engineering", "?", "\n" ]
[ { "id": 3, "type": "value", "value": "Environmental Engineering" }, { "id": 5, "type": "column", "value": "link_to_major" }, { "id": 2, "type": "column", "value": "major_name" }, { "id": 4, "type": "column", "value": "member_id" }, { "id": 6, "type": "column", "value": "major_id" }, { "id": 0, "type": "table", "value": "member" }, { "id": 1, "type": "table", "value": "major" } ]
[ { "entity_id": 0, "token_idxs": [ 2 ] }, { "entity_id": 1, "token_idxs": [ 7 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 8, 9 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "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", "B-VALUE", "I-VALUE", "O", "O" ]
14,187
works_cycles
bird:train.json:7123
What is the currency of Brazil?
SELECT T1.Name FROM Currency AS T1 INNER JOIN CountryRegionCurrency AS T2 ON T1.CurrencyCode = T2.CurrencyCode INNER JOIN CountryRegion AS T3 ON T2.CountryRegionCode = T3.CountryRegionCode WHERE T3.Name = 'Brazil'
[ "What", "is", "the", "currency", "of", "Brazil", "?" ]
[ { "id": 4, "type": "table", "value": "countryregioncurrency" }, { "id": 5, "type": "column", "value": "countryregioncode" }, { "id": 1, "type": "table", "value": "countryregion" }, { "id": 6, "type": "column", "value": "currencycode" }, { "id": 3, "type": "table", "value": "currency" }, { "id": 2, "type": "value", "value": "Brazil" }, { "id": 0, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [ 3 ] }, { "entity_id": 4, "token_idxs": [ 2 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "B-TABLE", "O", "B-VALUE", "O" ]
14,188
codebase_community
bird:dev.json:695
How many users were awarded with 'Citizen Patrol' badge?
SELECT COUNT(id) FROM badges WHERE `Name` = 'Citizen Patrol'
[ "How", "many", "users", "were", "awarded", "with", "'", "Citizen", "Patrol", "'", "badge", "?" ]
[ { "id": 2, "type": "value", "value": "Citizen Patrol" }, { "id": 0, "type": "table", "value": "badges" }, { "id": 1, "type": "column", "value": "Name" }, { "id": 3, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [ 10 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 7, 8 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "B-TABLE", "O" ]
14,189
election
spider:train_spider.json:2749
What are the delegate and committee information for each election record?
SELECT Delegate , Committee FROM election
[ "What", "are", "the", "delegate", "and", "committee", "information", "for", "each", "election", "record", "?" ]
[ { "id": 2, "type": "column", "value": "committee" }, { "id": 0, "type": "table", "value": "election" }, { "id": 1, "type": "column", "value": "delegate" } ]
[ { "entity_id": 0, "token_idxs": [ 9 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "O", "B-TABLE", "O", "O" ]
14,190
cars
bird:train.json:3083
Provide the engine displacement status of the $37443.85589 car.
SELECT T1.displacement FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = '37443.85589'
[ "Provide", "the", "engine", "displacement", "status", "of", "the", "$", "37443.85589", "car", "." ]
[ { "id": 0, "type": "column", "value": "displacement" }, { "id": 4, "type": "value", "value": "37443.85589" }, { "id": 2, "type": "table", "value": "price" }, { "id": 3, "type": "column", "value": "price" }, { "id": 1, "type": "table", "value": "data" }, { "id": 5, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 0 ] }, { "entity_id": 4, "token_idxs": [ 8 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "B-COLUMN", "O", "O", "B-COLUMN", "O", "O", "O", "O", "B-VALUE", "O", "O" ]
14,191
codebase_comments
bird:train.json:632
What is the path of solution of "spinachLexer.mT__55" method?
SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'spinachLexer.mT__55'
[ "What", "is", "the", "path", "of", "solution", "of", "\"", "spinachLexer.mT__55", "\"", "method", "?" ]
[ { "id": 4, "type": "value", "value": "spinachLexer.mT__55" }, { "id": 6, "type": "column", "value": "solutionid" }, { "id": 1, "type": "table", "value": "solution" }, { "id": 2, "type": "table", "value": "method" }, { "id": 0, "type": "column", "value": "path" }, { "id": 3, "type": "column", "value": "name" }, { "id": 5, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [ 5 ] }, { "entity_id": 2, "token_idxs": [ 10 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 8 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "B-VALUE", "O", "B-TABLE", "O" ]
14,192
regional_sales
bird:train.json:2665
Find the store ID with more orders between "Aurora" and "Babylon" city.
SELECT T2.StoreID FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.`City Name` = 'Aurora (Township)' OR T2.`City Name` = 'Babylon (Town)' GROUP BY T2.StoreID ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1
[ "Find", "the", "store", "ID", "with", "more", "orders", "between", "\"", "Aurora", "\"", "and", "\"", "Babylon", "\"", "city", "." ]
[ { "id": 5, "type": "value", "value": "Aurora (Township)" }, { "id": 2, "type": "table", "value": "Store Locations" }, { "id": 6, "type": "value", "value": "Babylon (Town)" }, { "id": 1, "type": "table", "value": "Sales Orders" }, { "id": 7, "type": "column", "value": "ordernumber" }, { "id": 4, "type": "column", "value": "City Name" }, { "id": 3, "type": "column", "value": "_storeid" }, { "id": 0, "type": "column", "value": "storeid" } ]
[ { "entity_id": 0, "token_idxs": [ 2, 3 ] }, { "entity_id": 1, "token_idxs": [ 5 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 15 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [ 13, 14 ] }, { "entity_id": 7, "token_idxs": [ 6 ] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "B-COLUMN", "O" ]
14,193
restaurant_bills
bird:test.json:622
What is the average card credit of customers with membership level higher than 1?
SELECT avg(Card_Credit) FROM customer WHERE Level_of_Membership > 1
[ "What", "is", "the", "average", "card", "credit", "of", "customers", "with", "membership", "level", "higher", "than", "1", "?" ]
[ { "id": 1, "type": "column", "value": "level_of_membership" }, { "id": 3, "type": "column", "value": "card_credit" }, { "id": 0, "type": "table", "value": "customer" }, { "id": 2, "type": "value", "value": "1" } ]
[ { "entity_id": 0, "token_idxs": [ 7 ] }, { "entity_id": 1, "token_idxs": [ 9 ] }, { "entity_id": 2, "token_idxs": [ 13 ] }, { "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", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O" ]
14,194
book_1
bird:test.json:532
What are the ids of all orders and the corresponding client names?
SELECT T1.idOrder , T2.name FROM Orders AS T1 JOIN Client AS T2 ON T1.idClient = T2.idClient
[ "What", "are", "the", "ids", "of", "all", "orders", "and", "the", "corresponding", "client", "names", "?" ]
[ { "id": 4, "type": "column", "value": "idclient" }, { "id": 0, "type": "column", "value": "idorder" }, { "id": 2, "type": "table", "value": "orders" }, { "id": 3, "type": "table", "value": "client" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 11 ] }, { "entity_id": 2, "token_idxs": [ 6 ] }, { "entity_id": 3, "token_idxs": [ 10 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "B-TABLE", "B-COLUMN", "O" ]
14,195
european_football_2
bird:dev.json:1098
What is Ajax's highest chance creation passing score and what is it classified as?
SELECT t2.chanceCreationPassing, t2.chanceCreationPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Ajax' ORDER BY t2.chanceCreationPassing DESC LIMIT 1
[ "What", "is", "Ajax", "'s", "highest", "chance", "creation", "passing", "score", "and", "what", "is", "it", "classified", "as", "?" ]
[ { "id": 1, "type": "column", "value": "chancecreationpassingclass" }, { "id": 0, "type": "column", "value": "chancecreationpassing" }, { "id": 3, "type": "table", "value": "team_attributes" }, { "id": 4, "type": "column", "value": "team_long_name" }, { "id": 6, "type": "column", "value": "team_api_id" }, { "id": 2, "type": "table", "value": "team" }, { "id": 5, "type": "value", "value": "Ajax" } ]
[ { "entity_id": 0, "token_idxs": [ 5, 6, 7 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [ 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-VALUE", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O" ]
14,197
codebase_community
bird:dev.json:632
How many votes were made by Harlan?
SELECT COUNT(T1.Id) FROM users AS T1 INNER JOIN postHistory AS T2 ON T1.Id = T2.UserId INNER JOIN votes AS T3 ON T3.PostId = T2.PostId WHERE T1.DisplayName = 'Harlan'
[ "How", "many", "votes", "were", "made", "by", "Harlan", "?" ]
[ { "id": 1, "type": "column", "value": "displayname" }, { "id": 5, "type": "table", "value": "posthistory" }, { "id": 2, "type": "value", "value": "Harlan" }, { "id": 6, "type": "column", "value": "postid" }, { "id": 7, "type": "column", "value": "userid" }, { "id": 0, "type": "table", "value": "votes" }, { "id": 4, "type": "table", "value": "users" }, { "id": 3, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [ 2 ] }, { "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", "B-TABLE", "O", "O", "O", "B-VALUE", "O" ]
14,198
e_learning
spider:train_spider.json:3826
What is the name of each course and the corresponding number of student enrollment?
SELECT T1.course_name , COUNT(*) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name
[ "What", "is", "the", "name", "of", "each", "course", "and", "the", "corresponding", "number", "of", "student", "enrollment", "?" ]
[ { "id": 2, "type": "table", "value": "student_course_enrolment" }, { "id": 0, "type": "column", "value": "course_name" }, { "id": 3, "type": "column", "value": "course_id" }, { "id": 1, "type": "table", "value": "courses" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 6 ] }, { "entity_id": 2, "token_idxs": [ 12, 13 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "O" ]
14,199
climbing
spider:train_spider.json:1113
What are the names of the climbers, ordered by points descending?
SELECT Name FROM climber ORDER BY Points DESC
[ "What", "are", "the", "names", "of", "the", "climbers", ",", "ordered", "by", "points", "descending", "?" ]
[ { "id": 0, "type": "table", "value": "climber" }, { "id": 2, "type": "column", "value": "points" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 10 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "O", "O" ]
14,200
book_review
bird:test.json:596
What are the types and release dates of books?
SELECT TYPE , Release FROM book
[ "What", "are", "the", "types", "and", "release", "dates", "of", "books", "?" ]
[ { "id": 2, "type": "column", "value": "release" }, { "id": 0, "type": "table", "value": "book" }, { "id": 1, "type": "column", "value": "type" } ]
[ { "entity_id": 0, "token_idxs": [ 8 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-TABLE", "O" ]
14,201
assets_maintenance
spider:train_spider.json:3147
Which fault log included the most number of faulty parts? List the fault log id, description and record time.
SELECT T1.fault_log_entry_id , T1.fault_description , T1.fault_log_entry_datetime FROM Fault_Log AS T1 JOIN Fault_Log_Parts AS T2 ON T1.fault_log_entry_id = T2.fault_log_entry_id GROUP BY T1.fault_log_entry_id ORDER BY count(*) DESC LIMIT 1
[ "Which", "fault", "log", "included", "the", "most", "number", "of", "faulty", "parts", "?", "List", "the", "fault", "log", "i", "d", ",", "description", "and", "record", "time", "." ]
[ { "id": 2, "type": "column", "value": "fault_log_entry_datetime" }, { "id": 0, "type": "column", "value": "fault_log_entry_id" }, { "id": 1, "type": "column", "value": "fault_description" }, { "id": 4, "type": "table", "value": "fault_log_parts" }, { "id": 3, "type": "table", "value": "fault_log" } ]
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[ "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "O", "O", "O", "B-TABLE", "I-TABLE", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "O", "O", "O", "O" ]
14,203
beer_factory
bird:train.json:5249
Please list the dates on which a male customer has purchased more than 3 root beers.
SELECT T2.TransactionDate FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' GROUP BY T2.TransactionDate HAVING COUNT(T2.CustomerID) > 3
[ "Please", "list", "the", "dates", "on", "which", "a", "male", "customer", "has", "purchased", "more", "than", "3", "root", "beers", "." ]
[ { "id": 0, "type": "column", "value": "transactiondate" }, { "id": 2, "type": "table", "value": "transaction" }, { "id": 6, "type": "column", "value": "customerid" }, { "id": 1, "type": "table", "value": "customers" }, { "id": 3, "type": "column", "value": "gender" }, { "id": 4, "type": "value", "value": "M" }, { "id": 5, "type": "value", "value": "3" } ]
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[ "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-VALUE", "O", "O", "O" ]
14,204
software_company
bird:train.json:8533
List down the geographic identifier with an income that ranges from 2100 to 2500.
SELECT GEOID FROM Demog WHERE INCOME_K >= 2100 AND INCOME_K <= 2500
[ "List", "down", "the", "geographic", "identifier", "with", "an", "income", "that", "ranges", "from", "2100", "to", "2500", "." ]
[ { "id": 2, "type": "column", "value": "income_k" }, { "id": 0, "type": "table", "value": "demog" }, { "id": 1, "type": "column", "value": "geoid" }, { "id": 3, "type": "value", "value": "2100" }, { "id": 4, "type": "value", "value": "2500" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 7 ] }, { "entity_id": 3, "token_idxs": [ 11 ] }, { "entity_id": 4, "token_idxs": [ 13 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O", "B-VALUE", "O" ]
14,205
works_cycles
bird:train.json:7426
Please list the product names of all the products on the LL Road Frame Sale.
SELECT T3.Name FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID WHERE T1.Description = 'LL Road Frame Sale'
[ "Please", "list", "the", "product", "names", "of", "all", "the", "products", "on", "the", "LL", "Road", "Frame", "Sale", "." ]
[ { "id": 5, "type": "table", "value": "specialofferproduct" }, { "id": 3, "type": "value", "value": "LL Road Frame Sale" }, { "id": 7, "type": "column", "value": "specialofferid" }, { "id": 4, "type": "table", "value": "specialoffer" }, { "id": 2, "type": "column", "value": "description" }, { "id": 6, "type": "column", "value": "productid" }, { "id": 1, "type": "table", "value": "product" }, { "id": 0, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 11, 12, 13, 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", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "O" ]
14,206
college_2
spider:train_spider.json:1383
Give all information regarding instructors, in order of salary from least to greatest.
SELECT * FROM instructor ORDER BY salary
[ "Give", "all", "information", "regarding", "instructors", ",", "in", "order", "of", "salary", "from", "least", "to", "greatest", "." ]
[ { "id": 0, "type": "table", "value": "instructor" }, { "id": 1, "type": "column", "value": "salary" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [ 9 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_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", "B-COLUMN", "O", "O", "O", "O", "O" ]
14,207
sing_contest
bird:test.json:745
What are the voice sound quality score, rhythm tempo score and stage presence score performed by the participant named 'Freeway'?
SELECT T1.voice_sound_quality , T1.rhythm_tempo , T1.stage_presence FROM performance_score AS T1 JOIN participants AS T2 ON T1.participant_id = T2.id WHERE T2.name = 'Freeway'
[ "What", "are", "the", "voice", "sound", "quality", "score", ",", "rhythm", "tempo", "score", "and", "stage", "presence", "score", "performed", "by", "the", "participant", "named", "'", "Freeway", "'", "?" ]
[ { "id": 0, "type": "column", "value": "voice_sound_quality" }, { "id": 3, "type": "table", "value": "performance_score" }, { "id": 2, "type": "column", "value": "stage_presence" }, { "id": 7, "type": "column", "value": "participant_id" }, { "id": 1, "type": "column", "value": "rhythm_tempo" }, { "id": 4, "type": "table", "value": "participants" }, { "id": 6, "type": "value", "value": "Freeway" }, { "id": 5, "type": "column", "value": "name" }, { "id": 8, "type": "column", "value": "id" } ]
[ { "entity_id": 0, "token_idxs": [ 3, 4, 5 ] }, { "entity_id": 1, "token_idxs": [ 8, 9 ] }, { "entity_id": 2, "token_idxs": [ 12, 13 ] }, { "entity_id": 3, "token_idxs": [ 14 ] }, { "entity_id": 4, "token_idxs": [ 18 ] }, { "entity_id": 5, "token_idxs": [ 19 ] }, { "entity_id": 6, "token_idxs": [ 21 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "B-TABLE", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "B-VALUE", "O", "O" ]
14,208
music_platform_2
bird:train.json:7979
What is the content of the review under the title "really interesting!" and is created on 2018-04-24 at 12:05:16?
SELECT content FROM reviews WHERE title = 'really interesting!' AND created_at = '2018-04-24T12:05:16-07:00'
[ "What", "is", "the", "content", "of", "the", "review", "under", "the", "title", "\"", "really", "interesting", "!", "\"", "and", "is", "created", "on", "2018", "-", "04", "-", "24", "at", "12:05:16", "?" ]
[ { "id": 5, "type": "value", "value": "2018-04-24T12:05:16-07:00" }, { "id": 3, "type": "value", "value": "really interesting!" }, { "id": 4, "type": "column", "value": "created_at" }, { "id": 0, "type": "table", "value": "reviews" }, { "id": 1, "type": "column", "value": "content" }, { "id": 2, "type": "column", "value": "title" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 9 ] }, { "entity_id": 3, "token_idxs": [ 11, 12, 13 ] }, { "entity_id": 4, "token_idxs": [ 17 ] }, { "entity_id": 5, "token_idxs": [ 19, 20, 21, 22, 23, 24, 25 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_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-VALUE", "I-VALUE", "I-VALUE", "O", "O", "O", "B-COLUMN", "O", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "O" ]
14,209
country_language
bird:test.json:1374
List the name of the country with the biggest score in politics.
SELECT name FROM countries ORDER BY politics_score DESC LIMIT 1
[ "List", "the", "name", "of", "the", "country", "with", "the", "biggest", "score", "in", "politics", "." ]
[ { "id": 2, "type": "column", "value": "politics_score" }, { "id": 0, "type": "table", "value": "countries" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [ 5 ] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "entity_id": 2, "token_idxs": [ 11 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "O" ]
14,210
restaurant
bird:train.json:1735
What is the county of the Sankee restaurant?
SELECT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'sankee'
[ "What", "is", "the", "county", "of", "the", "Sankee", "restaurant", "?" ]
[ { "id": 1, "type": "table", "value": "generalinfo" }, { "id": 2, "type": "table", "value": "geographic" }, { "id": 0, "type": "column", "value": "county" }, { "id": 4, "type": "value", "value": "sankee" }, { "id": 3, "type": "column", "value": "label" }, { "id": 5, "type": "column", "value": "city" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 6 ] }, { "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-VALUE", "O", "O" ]
14,211
hr_1
spider:train_spider.json:3522
What are the department names, cities, and state provinces for each department?
SELECT T1.department_name , T2.city , T2.state_province FROM departments AS T1 JOIN locations AS T2 ON T2.location_id = T1.location_id
[ "What", "are", "the", "department", "names", ",", "cities", ",", "and", "state", "provinces", "for", "each", "department", "?" ]
[ { "id": 0, "type": "column", "value": "department_name" }, { "id": 2, "type": "column", "value": "state_province" }, { "id": 3, "type": "table", "value": "departments" }, { "id": 5, "type": "column", "value": "location_id" }, { "id": 4, "type": "table", "value": "locations" }, { "id": 1, "type": "column", "value": "city" } ]
[ { "entity_id": 0, "token_idxs": [ 3, 4 ] }, { "entity_id": 1, "token_idxs": [ 6 ] }, { "entity_id": 2, "token_idxs": [ 9, 10 ] }, { "entity_id": 3, "token_idxs": [ 13 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "O" ]
14,212
simpson_episodes
bird:train.json:4255
Please indicate the keywords of the episode that won the Primetime Emmy Award category.
SELECT T2.keyword FROM Award AS T1 INNER JOIN Keyword AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy';
[ "Please", "indicate", "the", "keywords", "of", "the", "episode", "that", "won", "the", "Primetime", "Emmy", "Award", "category", "." ]
[ { "id": 3, "type": "column", "value": "award_category" }, { "id": 4, "type": "value", "value": "Primetime Emmy" }, { "id": 5, "type": "column", "value": "episode_id" }, { "id": 0, "type": "column", "value": "keyword" }, { "id": 2, "type": "table", "value": "keyword" }, { "id": 1, "type": "table", "value": "award" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 12 ] }, { "entity_id": 2, "token_idxs": [ 3 ] }, { "entity_id": 3, "token_idxs": [ 13 ] }, { "entity_id": 4, "token_idxs": [ 10, 11 ] }, { "entity_id": 5, "token_idxs": [ 6 ] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "I-VALUE", "B-TABLE", "B-COLUMN", "O" ]
14,213
government_shift
bird:test.json:364
Which services were used by customers by more than 3 times? Give me the service details.
SELECT t1.service_details FROM services AS t1 JOIN customers_and_services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_details HAVING count(*) > 3
[ "Which", "services", "were", "used", "by", "customers", "by", "more", "than", "3", "times", "?", "Give", "me", "the", "service", "details", "." ]
[ { "id": 2, "type": "table", "value": "customers_and_services" }, { "id": 0, "type": "column", "value": "service_details" }, { "id": 4, "type": "column", "value": "service_id" }, { "id": 1, "type": "table", "value": "services" }, { "id": 3, "type": "value", "value": "3" } ]
[ { "entity_id": 0, "token_idxs": [ 16 ] }, { "entity_id": 1, "token_idxs": [ 1 ] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [ 9 ] }, { "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", "B-TABLE", "O", "O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "O", "O", "O", "O", "O", "B-COLUMN", "B-COLUMN", "O" ]
14,214
shooting
bird:train.json:2475
List all cases from the year 2012 in which the subject was deceased
SELECT case_number FROM incidents WHERE STRFTIME('%Y', date) > '2011' AND subject_statuses = 'Deceased'
[ "List", "all", "cases", "from", "the", "year", "2012", "in", "which", "the", "subject", "was", "deceased" ]
[ { "id": 3, "type": "column", "value": "subject_statuses" }, { "id": 1, "type": "column", "value": "case_number" }, { "id": 0, "type": "table", "value": "incidents" }, { "id": 4, "type": "value", "value": "Deceased" }, { "id": 2, "type": "value", "value": "2011" }, { "id": 6, "type": "column", "value": "date" }, { "id": 5, "type": "value", "value": "%Y" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 6 ] }, { "entity_id": 3, "token_idxs": [ 10, 11 ] }, { "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-VALUE", "O", "O", "O", "B-COLUMN", "I-COLUMN", "B-VALUE" ]
14,215
student_club
bird:dev.json:1328
List the last name of all the students who majored Law and Constitutional Studies.
SELECT T1.last_name FROM member AS T1 INNER JOIN major AS T2 ON T1.link_to_major = T2.major_id WHERE T2.major_name = 'Law and Constitutional Studies'
[ "List", "the", "last", "name", "of", "all", "the", "students", "who", "majored", "Law", "and", "Constitutional", "Studies", ".", "\n" ]
[ { "id": 4, "type": "value", "value": "Law and Constitutional Studies" }, { "id": 5, "type": "column", "value": "link_to_major" }, { "id": 3, "type": "column", "value": "major_name" }, { "id": 0, "type": "column", "value": "last_name" }, { "id": 6, "type": "column", "value": "major_id" }, { "id": 1, "type": "table", "value": "member" }, { "id": 2, "type": "table", "value": "major" } ]
[ { "entity_id": 0, "token_idxs": [ 2, 3 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 9 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 10, 11, 12, 13 ] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "O", "B-TABLE", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "O", "O" ]
14,216
advertising_agencies
bird:test.json:2130
What are the meeting ids, meeting outcomes, meeting types, and client details for all meetings?
SELECT T1.meeting_id , T1.meeting_outcome , T1.meeting_type , T2.client_details FROM meetings AS T1 JOIN clients AS T2 ON T1.client_id = T2.client_id
[ "What", "are", "the", "meeting", "ids", ",", "meeting", "outcomes", ",", "meeting", "types", ",", "and", "client", "details", "for", "all", "meetings", "?" ]
[ { "id": 1, "type": "column", "value": "meeting_outcome" }, { "id": 3, "type": "column", "value": "client_details" }, { "id": 2, "type": "column", "value": "meeting_type" }, { "id": 0, "type": "column", "value": "meeting_id" }, { "id": 6, "type": "column", "value": "client_id" }, { "id": 4, "type": "table", "value": "meetings" }, { "id": 5, "type": "table", "value": "clients" } ]
[ { "entity_id": 0, "token_idxs": [ 3, 4 ] }, { "entity_id": 1, "token_idxs": [ 6, 7 ] }, { "entity_id": 2, "token_idxs": [ 9, 10 ] }, { "entity_id": 3, "token_idxs": [ 14 ] }, { "entity_id": 4, "token_idxs": [ 17 ] }, { "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", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "B-TABLE", "O" ]
14,217
college_completion
bird:train.json:3713
Which state is "Mercer University" located in?
SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Mercer University' THEN state ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL
[ "Which", "state", "is", "\"", "Mercer", "University", "\"", "located", "in", "?" ]
[ { "id": 1, "type": "table", "value": "institution_details" }, { "id": 4, "type": "value", "value": "Mercer University" }, { "id": 3, "type": "column", "value": "chronname" }, { "id": 2, "type": "column", "value": "state" }, { "id": 0, "type": "column", "value": "t" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [ 1 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [ 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", "B-COLUMN", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "O", "O" ]
14,218
retails
bird:train.json:6704
What is the name of the customer with the highest amount of debt?
SELECT c_name FROM customer WHERE c_acctbal = ( SELECT MIN(c_acctbal) FROM customer )
[ "What", "is", "the", "name", "of", "the", "customer", "with", "the", "highest", "amount", "of", "debt", "?" ]
[ { "id": 2, "type": "column", "value": "c_acctbal" }, { "id": 0, "type": "table", "value": "customer" }, { "id": 1, "type": "column", "value": "c_name" } ]
[ { "entity_id": 0, "token_idxs": [ 6 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O" ]
14,219
online_exams
bird:test.json:226
Which students do not have any answers? Find their first names.
SELECT First_Name FROM Students WHERE Student_ID NOT IN (SELECT Student_ID FROM Student_Answers)
[ "Which", "students", "do", "not", "have", "any", "answers", "?", "Find", "their", "first", "names", "." ]
[ { "id": 3, "type": "table", "value": "student_answers" }, { "id": 1, "type": "column", "value": "first_name" }, { "id": 2, "type": "column", "value": "student_id" }, { "id": 0, "type": "table", "value": "students" } ]
[ { "entity_id": 0, "token_idxs": [ 1 ] }, { "entity_id": 1, "token_idxs": [ 10, 11 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,220
customers_and_addresses
spider:train_spider.json:6129
Which product has been ordered most number of times?
SELECT t2.product_details FROM order_items AS t1 JOIN products AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_id ORDER BY count(*) DESC LIMIT 1
[ "Which", "product", "has", "been", "ordered", "most", "number", "of", "times", "?" ]
[ { "id": 1, "type": "column", "value": "product_details" }, { "id": 2, "type": "table", "value": "order_items" }, { "id": 0, "type": "column", "value": "product_id" }, { "id": 3, "type": "table", "value": "products" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "entity_id": 2, "token_idxs": [ 4, 5 ] }, { "entity_id": 3, "token_idxs": [ 1 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "B-TABLE", "B-COLUMN", "O", "B-TABLE", "I-TABLE", "O", "O", "O", "O" ]
14,221
country_language
bird:test.json:1364
Show the names of countries in descending order of overall scores.
SELECT name FROM countries ORDER BY overall_score DESC
[ "Show", "the", "names", "of", "countries", "in", "descending", "order", "of", "overall", "scores", "." ]
[ { "id": 2, "type": "column", "value": "overall_score" }, { "id": 0, "type": "table", "value": "countries" }, { "id": 1, "type": "column", "value": "name" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [ 2 ] }, { "entity_id": 2, "token_idxs": [ 9, 10 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,222
address
bird:train.json:5189
What are the states with an above-average female population?
SELECT DISTINCT T2.state FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T2.female_population > ( SELECT AVG(female_population) FROM zip_data )
[ "What", "are", "the", "states", "with", "an", "above", "-", "average", "female", "population", "?" ]
[ { "id": 3, "type": "column", "value": "female_population" }, { "id": 4, "type": "column", "value": "abbreviation" }, { "id": 2, "type": "table", "value": "zip_data" }, { "id": 0, "type": "column", "value": "state" }, { "id": 1, "type": "table", "value": "state" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 9, 10 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]
14,223
boat_1
bird:test.json:850
What are the ids of all boats that are reserved by someone?
SELECT DISTINCT bid FROM Reserves
[ "What", "are", "the", "ids", "of", "all", "boats", "that", "are", "reserved", "by", "someone", "?" ]
[ { "id": 0, "type": "table", "value": "reserves" }, { "id": 1, "type": "column", "value": "bid" } ]
[ { "entity_id": 0, "token_idxs": [ 9 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O" ]
14,224
voter_2
spider:train_spider.json:5494
Find the distinct first names of all the students who have vice president votes and whose city code is not PIT.
SELECT DISTINCT T1.Fname FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.VICE_PRESIDENT_Vote EXCEPT SELECT DISTINCT Fname FROM STUDENT WHERE city_code = "PIT"
[ "Find", "the", "distinct", "first", "names", "of", "all", "the", "students", "who", "have", "vice", "president", "votes", "and", "whose", "city", "code", "is", "not", "PIT", "." ]
[ { "id": 6, "type": "column", "value": "vice_president_vote" }, { "id": 2, "type": "table", "value": "voting_record" }, { "id": 3, "type": "column", "value": "city_code" }, { "id": 0, "type": "table", "value": "student" }, { "id": 1, "type": "column", "value": "fname" }, { "id": 5, "type": "column", "value": "stuid" }, { "id": 4, "type": "column", "value": "PIT" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 4 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 16, 17 ] }, { "entity_id": 4, "token_idxs": [ 20 ] }, { "entity_id": 5, "token_idxs": [ 8 ] }, { "entity_id": 6, "token_idxs": [ 11, 12, 13 ] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "B-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-COLUMN", "O" ]
14,225
college_1
spider:train_spider.json:3248
How many employees are there all together?
SELECT count(*) FROM employee
[ "How", "many", "employees", "are", "there", "all", "together", "?" ]
[ { "id": 0, "type": "table", "value": "employee" } ]
[ { "entity_id": 0, "token_idxs": [ 2 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "O", "O", "O", "O", "O" ]
14,226
world
bird:train.json:7843
What is the surface area of the country where Sutton Coldfield city belongs?
SELECT T1.SurfaceArea FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = 'Sutton Coldfield'
[ "What", "is", "the", "surface", "area", "of", "the", "country", "where", "Sutton", "Coldfield", "city", "belongs", "?" ]
[ { "id": 4, "type": "value", "value": "Sutton Coldfield" }, { "id": 0, "type": "column", "value": "surfacearea" }, { "id": 6, "type": "column", "value": "countrycode" }, { "id": 1, "type": "table", "value": "country" }, { "id": 2, "type": "table", "value": "city" }, { "id": 3, "type": "column", "value": "name" }, { "id": 5, "type": "column", "value": "code" } ]
[ { "entity_id": 0, "token_idxs": [ 3, 4 ] }, { "entity_id": 1, "token_idxs": [ 7 ] }, { "entity_id": 2, "token_idxs": [ 11 ] }, { "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", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "O", "B-VALUE", "B-COLUMN", "B-TABLE", "O", "O" ]
14,227
theme_gallery
spider:train_spider.json:1678
What are the themes and years for exhibitions, sorted by ticket price descending?
SELECT theme , YEAR FROM exhibition ORDER BY ticket_price DESC
[ "What", "are", "the", "themes", "and", "years", "for", "exhibitions", ",", "sorted", "by", "ticket", "price", "descending", "?" ]
[ { "id": 3, "type": "column", "value": "ticket_price" }, { "id": 0, "type": "table", "value": "exhibition" }, { "id": 1, "type": "column", "value": "theme" }, { "id": 2, "type": "column", "value": "year" } ]
[ { "entity_id": 0, "token_idxs": [ 7 ] }, { "entity_id": 1, "token_idxs": [ 3 ] }, { "entity_id": 2, "token_idxs": [ 5 ] }, { "entity_id": 3, "token_idxs": [ 11, 12 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O" ]
14,228
behavior_monitoring
spider:train_spider.json:3090
Return all distinct detention type codes.
SELECT DISTINCT detention_type_code FROM Detention
[ "Return", "all", "distinct", "detention", "type", "codes", "." ]
[ { "id": 1, "type": "column", "value": "detention_type_code" }, { "id": 0, "type": "table", "value": "detention" } ]
[ { "entity_id": 0, "token_idxs": [ 3 ] }, { "entity_id": 1, "token_idxs": [ 4, 5 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "B-TABLE", "B-COLUMN", "I-COLUMN", "O" ]
14,229
party_people
spider:train_spider.json:2069
How many party events do we have?
SELECT count(*) FROM party_events
[ "How", "many", "party", "events", "do", "we", "have", "?" ]
[ { "id": 0, "type": "table", "value": "party_events" } ]
[ { "entity_id": 0, "token_idxs": [ 2, 3 ] }, { "entity_id": 1, "token_idxs": [] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-TABLE", "I-TABLE", "O", "O", "O", "O" ]
14,230
movie_2
bird:test.json:1813
How many movies are playing across all theaters?
SELECT count(*) FROM movies AS T1 JOIN movietheaters AS T2 ON T1.code = T2.movie
[ "How", "many", "movies", "are", "playing", "across", "all", "theaters", "?" ]
[ { "id": 1, "type": "table", "value": "movietheaters" }, { "id": 0, "type": "table", "value": "movies" }, { "id": 3, "type": "column", "value": "movie" }, { "id": 2, "type": "column", "value": "code" } ]
[ { "entity_id": 0, "token_idxs": [] }, { "entity_id": 1, "token_idxs": [ 7 ] }, { "entity_id": 2, "token_idxs": [] }, { "entity_id": 3, "token_idxs": [ 2 ] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "B-COLUMN", "O", "O", "O", "O", "B-TABLE", "O" ]
14,231
retails
bird:train.json:6764
Find and list the part key of the parts which has an above-average retail price.
SELECT p_partkey FROM part WHERE p_retailprice > ( SELECT AVG(p_retailprice) FROM part )
[ "Find", "and", "list", "the", "part", "key", "of", "the", "parts", "which", "has", "an", "above", "-", "average", "retail", "price", "." ]
[ { "id": 2, "type": "column", "value": "p_retailprice" }, { "id": 1, "type": "column", "value": "p_partkey" }, { "id": 0, "type": "table", "value": "part" } ]
[ { "entity_id": 0, "token_idxs": [ 4 ] }, { "entity_id": 1, "token_idxs": [ 5 ] }, { "entity_id": 2, "token_idxs": [ 15, 16 ] }, { "entity_id": 3, "token_idxs": [] }, { "entity_id": 4, "token_idxs": [] }, { "entity_id": 5, "token_idxs": [] }, { "entity_id": 6, "token_idxs": [] }, { "entity_id": 7, "token_idxs": [] }, { "entity_id": 8, "token_idxs": [] }, { "entity_id": 9, "token_idxs": [] }, { "entity_id": 10, "token_idxs": [] }, { "entity_id": 11, "token_idxs": [] }, { "entity_id": 12, "token_idxs": [] }, { "entity_id": 13, "token_idxs": [] }, { "entity_id": 14, "token_idxs": [] }, { "entity_id": 15, "token_idxs": [] }, { "entity_id": 16, "token_idxs": [] }, { "entity_id": 17, "token_idxs": [] }, { "entity_id": 18, "token_idxs": [] }, { "entity_id": 19, "token_idxs": [] } ]
[ "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O" ]