question_id int64 0 16.1k | db_id stringclasses 259
values | dber_id stringlengths 15 29 | question stringlengths 16 325 | SQL stringlengths 18 1.25k | tokens listlengths 4 62 | entities listlengths 0 21 | entity_to_token listlengths 20 20 | dber_tags listlengths 4 62 |
|---|---|---|---|---|---|---|---|---|
14,010 | retail_world | bird:train.json:6511 | Which company placed the order with the id 10257? | SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10257 | [
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14,011 | perpetrator | spider:train_spider.json:2317 | What are the countries that have at least two perpetrators? | SELECT Country , COUNT(*) FROM perpetrator GROUP BY Country HAVING COUNT(*) >= 2 | [
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14,012 | car_road_race | bird:test.json:1315 | Count the number of races. | SELECT count(*) FROM race | [
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14,014 | sales | bird:train.json:5439 | List the sales ID of the product with a quantity of 590 and named "External Lock Washer 7". | SELECT T1.SalesID FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'External Lock Washer 7' AND T1.Quantity = 590 | [
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14,015 | student_club | bird:dev.json:1331 | What is the amount of the funds that the Vice President received? | SELECT T2.amount FROM member AS T1 INNER JOIN income AS T2 ON T1.member_id = T2.link_to_member WHERE T1.position = 'Vice President' | [
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14,016 | retail_world | bird:train.json:6493 | What is the contact name and phone number of the customer who has made the most total payment on the order to date? | SELECT T1.ContactName, T1.Phone FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID GROUP BY T2.OrderID, T1.ContactName, T1.Phone ORDER BY SUM(T3.UnitPrice * T3.Quantity * (1 - T3.Discount)) DESC LIMIT 1 | [
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] | [
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14,017 | human_resources | bird:train.json:8964 | How many positions have a maximum salary of no more than US$1000,000? | SELECT COUNT(*) FROM position WHERE CAST(REPLACE(SUBSTR(maxsalary, 4), ',', '') AS REAL) < 100000 | [
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14,018 | menu | bird:train.json:5510 | List down the menu page IDs for menu sponsored by Occidental & Oriental? | SELECT T2.id FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.sponsor = 'Occidental & Oriental' | [
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] | [
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14,019 | beer_factory | bird:train.json:5330 | How many transactions were made in Sac State Union using the American Express credit card in 2014? | SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union' AND T1.CreditCardType = 'American Express' AND T1.TransactionDate BETWEEN '2014-01-01' AND '2014-12-31' | [
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14,020 | online_exams | bird:test.json:206 | Count the number of different comments for student answers. | SELECT count(DISTINCT Comments) FROM Student_Answers | [
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"for",
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"."
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14,021 | student_loan | bird:train.json:4531 | How many students have been absent less than 4 months? | SELECT COUNT(name) FROM longest_absense_from_school WHERE month < 4 | [
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14,022 | card_games | bird:dev.json:438 | Point out the language of set id "174"? | SELECT language FROM set_translations WHERE id = 174 | [
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"i",
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"174",
"\"",
"?"
] | [
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14,023 | customers_campaigns_ecommerce | spider:train_spider.json:4625 | Show the name and phone of the customer without any mailshot. | SELECT customer_name , customer_phone FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM mailshot_customers) | [
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"id": 4,
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{
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"id": 0,
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14,025 | codebase_community | bird:dev.json:714 | List the comments commented by the user with a username of Harvey Motulsky. | SELECT T1.Text FROM comments AS T1 INNER JOIN users AS T2 ON T1.UserId = T2.Id WHERE T2.DisplayName = 'Harvey Motulsky' | [
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14,026 | climbing | spider:train_spider.json:1127 | What are the different ranges of the 3 mountains with the highest prominence? | SELECT DISTINCT Range FROM mountain ORDER BY Prominence DESC LIMIT 3 | [
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14,027 | products_gen_characteristics | spider:train_spider.json:5569 | What are the names of the products that have a color description of 'red' and the 'fast' characteristic? | SELECT product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id JOIN ref_colors AS t4 ON t1.color_code = t4.color_code WHERE t4.color_description = "red" AND t3.characteristic_name = "fast" | [
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] | [
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14,028 | product_catalog | spider:train_spider.json:318 | Find the entry name of the catalog with the highest price (in USD). | SELECT catalog_entry_name FROM catalog_contents ORDER BY price_in_dollars DESC LIMIT 1 | [
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14,029 | aan_1 | bird:test.json:1006 | Give the id and the number of citations of the most cited paper. | SELECT paper_id , count(*) FROM Citation GROUP BY cited_paper_id ORDER BY count(*) DESC LIMIT 1 | [
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14,030 | hockey | bird:train.json:7788 | What is the number of players whose last name is Green that played in the league but not coached? | SELECT COUNT(playerID) FROM Master WHERE lastName = 'Green' AND coachID IS NULL | [
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14,031 | video_games | bird:train.json:3456 | How many games were published by Activision? | SELECT COUNT(DISTINCT T3.id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN game AS T3 ON T1.game_id = T3.id WHERE T2.publisher_name = 'Activision' | [
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14,032 | olympics | bird:train.json:4940 | What is the percentage of male athletes from Estonia? | SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) 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 = 'Estonia' | [
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14,033 | movie_3 | bird:train.json:9223 | Provide the email, address, city, and country of the customer Lillie Kim. | SELECT T1.email, T2.address, T3.city, T4.country FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id WHERE T1.first_name = 'Lillie' AND T1.last_name = 'Kim' | [
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14,034 | conference | bird:test.json:1055 | List all distinct conference names. | SELECT DISTINCT conference_name FROM conference | [
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"id": 1,
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14,035 | hospital_1 | spider:train_spider.json:3954 | Find the names of nurses who are nursing an undergoing treatment. | SELECT DISTINCT T2.name FROM undergoes AS T1 JOIN nurse AS T2 ON T1.AssistingNurse = T2.EmployeeID | [
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14,037 | university | bird:train.json:8080 | Among the universities with a score in teaching of over 90 in 2011, how many of them are in the United States of America? | SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score > 90 | [
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14,038 | voter_2 | spider:train_spider.json:5500 | For each advisor, report the total number of students advised by him or her. | SELECT Advisor , count(*) FROM STUDENT GROUP BY Advisor | [
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14,039 | advertising_agencies | bird:test.json:2101 | Show all meeting outcomes and purposes. | SELECT meeting_outcome , purpose_of_meeting FROM meetings | [
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14,040 | government_shift | bird:test.json:376 | What are the details of the customers who have "Kutch" in part of their details? | SELECT customer_details FROM customers WHERE customer_details LIKE "%Kutch%" | [
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14,041 | movie_3 | bird:train.json:9312 | Which category is the most common? | SELECT T.name FROM ( SELECT T2.name, COUNT(T2.name) AS num FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T2.name ) AS T ORDER BY T.num DESC LIMIT 1 | [
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14,042 | food_inspection_2 | bird:train.json:6172 | Among the establishments that failed in the inspection, what is the percentage of establishments with the highest risk level? | SELECT CAST(COUNT(CASE WHEN T1.risk_level = 3 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.risk_level) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results = 'Fail' | [
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14,043 | authors | bird:train.json:3631 | How many authors finished the paper "An Improved Active Suspension Model for Attitude Control of Electric Vehicles" together? | SELECT COUNT(T2.AuthorId) FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'An Improved Active Suspension Model for Attitude Control of Electric Vehicles' | [
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14,044 | game_1 | spider:train_spider.json:5993 | Show first name for all students with major 600. | SELECT Fname FROM Student WHERE Major = 600 | [
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14,045 | coinmarketcap | bird:train.json:6272 | Had Bitcoin's price increased or decreased on 2013/5/5 compared with the price 7 days before? | SELECT (CASE WHEN T2.percent_change_7d > 0 THEN 'INCREASED' ELSE 'DECREASED' END) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-05' AND T1.name = 'Bitcoin' | [
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14,046 | retail_complains | bird:train.json:392 | In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days? | SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014' | [
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14,047 | donor | bird:train.json:3191 | How many donors from New Jersey have made a donation for an honoree? | SELECT COUNT(donationid) FROM donations WHERE for_honoree = 't' AND donor_state = 'NJ' | [
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14,048 | movie_platform | bird:train.json:16 | What is the name of the most followed list? | SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1 | [
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14,049 | warehouse_1 | bird:test.json:1708 | What is the total value of boxes located in Chicago or New York? | SELECT sum(T1.value) FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T2.location = 'Chicago' OR T2.location = 'New York' | [
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14,050 | club_leader | bird:test.json:650 | Show different nationalities along with the number of members of each nationality. | SELECT Nationality , COUNT(*) FROM member GROUP BY Nationality | [
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14,051 | works_cycles | bird:train.json:7394 | What is the company's profit on the product that was rated second-highest by David? | SELECT T2.ListPrice - T2.StandardCost FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ReviewerName = 'David' ORDER BY T1.Rating DESC LIMIT 1 | [
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14,052 | codebase_comments | bird:train.json:593 | Among the solutions that contain files within the repository followed by over 1000 people, how many of them can be
implemented without needs of compilation? | SELECT COUNT(T2.RepoId) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Forks > 1000 AND T2.WasCompiled = 1 | [
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14,053 | disney | bird:train.json:4719 | Name the first movie released by Disney. | SELECT movie_title FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) ASC LIMIT 1 | [
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14,054 | airline | bird:train.json:5827 | Among the flights departing from John F. Kennedy International, how many of them arrived earlier than scheduled? | SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International' | [
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14,055 | student_club | bird:dev.json:1321 | How many events of the Student_Club did Sacha Harrison attend in 2019? | SELECT COUNT(T1.event_id) FROM event AS T1 INNER JOIN attendance AS T2 ON T1.event_id = T2.link_to_event INNER JOIN member AS T3 ON T2.link_to_member = T3.member_id WHERE T3.first_name = 'Sacha' AND T3.last_name = 'Harrison' AND SUBSTR(T1.event_date, 1, 4) = '2019' | [
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14,056 | legislator | bird:train.json:4798 | When was the last serving date of Matt Salmon? | SELECT T1.END FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Matt Salmon' | [
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14,057 | thrombosis_prediction | bird:dev.json:1206 | When is the laboratory examination of patient '48473' where his/her AST glutamic oxaloacetic transaminase (GOT) index is above the normal range. | SELECT Date FROM Laboratory WHERE ID = 48473 AND GOT >= 60 | [
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14,058 | legislator | bird:train.json:4795 | How old was Jr. F. James Sensenbrenner when he first started as a legislator? | SELECT CAST(MIN(T2.start) - T1.birthday_bio AS DATE) AS AGE FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'F. James Sensenbrenner, Jr.' | [
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14,059 | musical | spider:train_spider.json:272 | Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks". | SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks" | [
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14,060 | chicago_crime | bird:train.json:8656 | How many percent of domestic violence cases were arrested in West Pullman? | SELECT CAST(COUNT(CASE WHEN T2.arrest = 'TRUE' THEN T2.report_no END) AS REAL) * 100 / COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'West Pullman' AND T2.domestic = 'TRUE' | [
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14,061 | movie_platform | bird:train.json:163 | What is the average number of number of movies added to the lists of user 8516503? Indicate how many movies did he/she give a rating score of 5. | SELECT AVG(T3.list_movie_number) , SUM(CASE WHEN T1.rating_score = 5 THEN 1 ELSE 0 END) FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id INNER JOIN lists AS T3 ON T2.user_id = T3.user_id WHERE T1.user_id = 8516503 | [
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14,062 | codebase_comments | bird:train.json:671 | Please state the API calls for method number 10 and its intended course of action. | SELECT T2.ApiCalls, T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Id = 10 | [
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14,063 | sports_competition | spider:train_spider.json:3346 | What are the different years for all competitions that are not of type equal to tournament? | SELECT DISTINCT YEAR FROM competition WHERE Competition_type != "Tournament" | [
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14,064 | video_game | bird:test.json:1944 | Count the number of players that have a rank of year of at most 3. | SELECT count(*) FROM player WHERE Rank_of_the_year <= 3 | [
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14,065 | cre_Drama_Workshop_Groups | spider:train_spider.json:5090 | How many bookings do we have? | SELECT count(*) FROM BOOKINGS | [
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14,066 | insurance_policies | spider:train_spider.json:3866 | Which claim incurred the most number of settlements? List the claim id, the date the claim was made, and the number. | SELECT T1.claim_id , T1.date_claim_made , count(*) FROM Claims AS T1 JOIN Settlements AS T2 ON T1.claim_id = T2.claim_id GROUP BY T1.claim_id ORDER BY count(*) DESC LIMIT 1 | [
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14,068 | university | bird:train.json:7993 | Give the name of the country that has the most universities. | SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id GROUP BY T2.country_name ORDER BY COUNT(T1.university_name) DESC LIMIT 1 | [
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14,069 | debit_card_specializing | bird:dev.json:1472 | In 2012, who had the least consumption in LAM? | SELECT T1.CustomerID FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'LAM' AND SUBSTR(T2.Date, 1, 4) = '2012' GROUP BY T1.CustomerID ORDER BY SUM(T2.Consumption) ASC LIMIT 1 | [
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14,070 | hockey | bird:train.json:7758 | What is the name of the team that got more wins than loses in the Stanley Cup finals in 1917? | SELECT T2.name FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = '1917' AND T1.W > T1.L | [
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14,071 | legislator | bird:train.json:4837 | What is the party of the legislator named Susan M. Collins? | SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Susan M. Collins' GROUP BY T2.party | [
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14,072 | retail_world | bird:train.json:6548 | List the territory IDs, description and region description under the in-charge of Mrs. Margaret Peacock. | SELECT T3.TerritoryID, T3.TerritoryDescription, T4.RegionDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T1.TitleOfCourtesy = 'Mrs.' AND T1.La... | [
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14,073 | student_loan | bird:train.json:4481 | Calculate the percentage of students who have never been absent. | SELECT CAST(SUM(IIF(month = 0, 1, 0)) AS REAL) * 100 / COUNT(name) FROM longest_absense_from_school | [
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14,074 | college_completion | bird:train.json:3716 | How many 2-year public schools are there in "California"? | SELECT COUNT(stateid) FROM state_sector_details WHERE state = 'California' AND level = '2-year' AND control = 'Public' | [
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14,075 | student_club | bird:dev.json:1409 | Mention the total expense used on 8/20/2019. | SELECT SUM(cost) FROM expense WHERE expense_date = '2019-08-20' | [
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14,076 | food_inspection_2 | bird:train.json:6140 | What is the assumed name of the business located at 2903 W Irving Park Rd? | SELECT DISTINCT dba_name FROM establishment WHERE address = '2903 W IRVING PARK RD ' | [
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14,077 | card_games | bird:dev.json:528 | List the names of all the cards in the set Hour of Devastation and find the formats in which these cards are legal. | SELECT DISTINCT T2.name , CASE WHEN T1.status = 'Legal' THEN T1.format ELSE NULL END FROM legalities AS T1 INNER JOIN cards AS T2 ON T2.uuid = T1.uuid WHERE T2.setCode IN ( SELECT code FROM sets WHERE name = 'Hour of Devastation' ) | [
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14,078 | car_retails | bird:train.json:1549 | Which sales representatives in New York city whose leader is Anthony Bow with the employee number is 1143? Indicate their employee numbers. | SELECT T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1143 AND T2.city = 'NYC' | [
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14,079 | insurance_policies | spider:train_spider.json:3856 | Among all the claims, what is the settlement amount of the claim with the largest claim amount? List both the settlement amount and claim amount. | SELECT Amount_Settled , Amount_Claimed FROM Claims ORDER BY Amount_Claimed DESC LIMIT 1 | [
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14,080 | movie | bird:train.json:767 | Count the male actors born in USA that starred in Ghost. | SELECT COUNT(*) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Ghost' AND T3.Gender = 'Male' AND T3.`Birth Country` = 'USA' | [
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14,081 | language_corpus | bird:train.json:5693 | Show all the title of pages and number of occurences for each page where the word 'quipu' appears. | SELECT T1.title, T2.occurrences FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN words AS T3 ON T2.wid = T3.wid WHERE T3.word = 'quipu' | [
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14,082 | toxicology | bird:dev.json:272 | List down two molecule id of triple bond non carcinogenic molecules with element carbon. | SELECT DISTINCT T2.molecule_id FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id INNER JOIN bond AS T3 ON T2.molecule_id = T3.molecule_id WHERE T3.bond_type = '#' AND T1.element = 'c' AND T2.label = '-' | [
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14,083 | advertising_agencies | bird:test.json:2063 | List all client ids and client details. | SELECT client_id , client_details FROM Clients | [
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14,085 | college_2 | spider:train_spider.json:1449 | How many instructors are in the department with the highest budget, and what is their average salary? | SELECT avg(T1.salary) , count(*) FROM instructor AS T1 JOIN department AS T2 ON T1.dept_name = T2.dept_name ORDER BY T2.budget DESC LIMIT 1 | [
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14,086 | art_1 | bird:test.json:1239 | What are the first and last names of artists who have painted using both oil and lithographic mediums? | SELECT T1.lname , T1.fname FROM artists AS T1 JOIN paintings AS T2 ON T1.artistID = T2.painterID WHERE T2.medium = "oil" INTERSECT SELECT T3.lname , T3.fname FROM artists AS T3 JOIN paintings AS T4 ON T3.artistID = T4.painterID WHERE T4.medium = "lithograph" | [
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14,087 | tv_shows | bird:test.json:149 | Show the transmitters of the radios and the number of city channels they are associated with. | SELECT T2.Transmitter , COUNT(*) FROM city_channel_radio AS T1 JOIN radio AS T2 ON T1.Radio_ID = T2.Radio_ID GROUP BY T2.Transmitter | [
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14,088 | donor | bird:train.json:3292 | What is the average amount of resources from projects that have received donations per honoree? | SELECT AVG(T1.item_quantity) FROM resources AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.for_honoree = 't' | [
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14,089 | bike_share_1 | bird:train.json:9011 | Which year experienced the most rain? | SELECT SUBSTR(CAST(date AS TEXT), -4) FROM weather GROUP BY SUBSTR(CAST(date AS TEXT), -4) ORDER BY SUM(CASE WHEN events LIKE '%Rain%' OR events LIKE '%rain%' THEN 1 ELSE 0 END) DESC LIMIT 1 | [
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14,090 | synthea | bird:train.json:1403 | Among the patients who were immunized with meningococcal MCV4P, how many have viral sinusitis disorder after getting the immunization? | SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)' | [
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14,091 | synthea | bird:train.json:1382 | Describe the encounter of Mr. Hubert Baumbach on 2008/10/25. | SELECT T2.description FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Hubert' AND T1.last = 'Baumbach' AND T2.date = '2008-10-25' | [
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14,092 | formula_1 | bird:dev.json:912 | What's the reference name of Marina Bay Street Circuit? | SELECT circuitRef FROM circuits WHERE name = 'Marina Bay Street Circuit' | [
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14,093 | car_retails | bird:train.json:1638 | Name the product from the 'Classic Cars' production line that has the greatest expected profit. | SELECT t.productName, t.MSRP - t.buyPrice FROM products AS t WHERE t.productLine = 'Classic Cars' ORDER BY t.MSRP - t.buyPrice DESC LIMIT 1 | [
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14,094 | behavior_monitoring | spider:train_spider.json:3121 | What is the zip code of the address where the teacher with first name "Lyla" lives? | SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Teachers AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = "Lyla" | [
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14,095 | food_inspection | bird:train.json:8800 | For the business which got the most number of violations, how many inspections did it have? | SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id GROUP BY T1.business_id ORDER BY COUNT(T1.business_id) DESC LIMIT 1 | [
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14,096 | retail_world | bird:train.json:6406 | How many non-discontinued products are there in the dairy category? | SELECT COUNT(T1.CategoryID) FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Dairy Products' AND T2.Discontinued = 0 | [
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14,098 | train_station | spider:train_spider.json:6601 | What are all locations of train stations? | SELECT DISTINCT LOCATION FROM station | [
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14,099 | sales | bird:train.json:5448 | What is the name of the sales person who handled the highest number of sales? | SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T2.SalesPersonID = T1.EmployeeID GROUP BY T2.SalesPersonID, T1.FirstName, T1.MiddleInitial, T1.LastName ORDER BY COUNT(T2.SalesID) DESC LIMIT 1 | [
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14,100 | apartment_rentals | spider:train_spider.json:1206 | What is the minimum and maximum number of bathrooms of all the apartments? | SELECT min(bathroom_count) , max(bathroom_count) FROM Apartments | [
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14,102 | inn_1 | spider:train_spider.json:2602 | List how many times the number of people in the room reached the maximum occupancy of the room. The number of people include adults and kids. | SELECT count(*) FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE T2.maxOccupancy = T1.Adults + T1.Kids; | [
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14,104 | public_review_platform | bird:train.json:3850 | Please list the IDs of the users who have a high number of followers. | SELECT user_id FROM Users WHERE user_fans LIKE 'High' GROUP BY user_id | [
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14,105 | retail_world | bird:train.json:6488 | Tally the customer ID of orders that were shipped to Brazil by Margaret Peacock from 3/31/97 to 12/10/97. | SELECT DISTINCT T2.CustomerID FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.LastName = 'Peacock' AND T1.FirstName = 'Margaret' AND T2.ShipCountry = 'Brazil' AND T2.ShippedDate BETWEEN '1997-03-31 00:00:00' AND '1997-12-10 23:59:59' | [
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14,106 | superhero | bird:dev.json:717 | Please list all the superpowers of 3-D Man. | SELECT T3.power_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id INNER JOIN superpower AS T3 ON T2.power_id = T3.id WHERE T1.superhero_name = '3-D Man' | [
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14,107 | icfp_1 | spider:train_spider.json:2866 | Find all the papers published by "Aaron Turon". | SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t1.fname = "Aaron" AND t1.lname = "Turon" | [
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"\"",
"."
] | [
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"id": 3,
"type": "table",
"value": "authorship"
},
{
"id": 2,
"type": "table",
"value": "authors"
},
{
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"type": "column",
"value": "paperid"
},
{
"id": 1,
"type": "table",
"value": "papers"
},
{
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"value":... | [
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"O",
"O",
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"O"
] |
14,109 | book_1 | bird:test.json:531 | Show all order ids and their client names. | SELECT T1.idOrder , T2.name FROM Orders AS T1 JOIN Client AS T2 ON T1.idClient = T2.idClient | [
"Show",
"all",
"order",
"ids",
"and",
"their",
"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": "... | [
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"... | [
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"O",
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"O",
"O",
"O",
"B-TABLE",
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] |
14,110 | retail_world | bird:train.json:6610 | What is the full name of the employee who is in charge of the territory of Denver? | SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Denver' | [
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] | [
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"id": 3,
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},
{
"id": 6,
"type": "table",
"value": "employeeterritories"
},
{
"id": 2,
"type": "table",
"value": "territories"
},
{
"id": 7,
"type": "column",
"value": "territoryid"
},
{
"id": 8,
... | [
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"O",
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] |
14,111 | address | bird:train.json:5179 | List all the counties in Georgia. | SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Georgia' GROUP BY T2.county | [
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"all",
"the",
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"."
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"type": "column",
"value": "abbreviation"
},
{
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"type": "table",
"value": "country"
},
{
"id": 4,
"type": "value",
"value": "Georgia"
},
{
"id": 0,
"type": "column",
"value": "county"
},
{
"id": 1,
"type": "table",
"value... | [
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"I-COLUMN",
"I-COLUMN",
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"O",
"B-VALUE",
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] |
14,113 | bakery_1 | bird:test.json:1551 | Find the first name and last name of a customer who visited on the earliest date. | SELECT T1.FirstName , T1.LastName FROM customers AS T1 JOIN receipts AS T2 ON T1.id = T2.CustomerId ORDER BY T2.date LIMIT 1 | [
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] | [
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"id": 6,
"type": "column",
"value": "customerid"
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{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 2,
"type": "table",
"value": "customers"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 3,
"type": "table",
"... | [
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... | [
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"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
14,115 | social_media | bird:train.json:845 | How many more tweets with a positive sentiment than the tweets with a neutral sentiment were posted by male users? | SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' | [
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] | [
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"id": 6,
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"value": "sentiment"
},
{
"id": 0,
"type": "table",
"value": "twitter"
},
{
"id": 1,
"type": "column",
"value": "gender"
},
{
"id": 3,
"type": "column",
"value": "userid"
},
{
"id": 2,
"type": "value",
"value": ... | [
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"entity_id": 0,
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},
{
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"token_idxs"... | [
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"O",
"O",
"O",
"B-VALUE",
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] |
14,116 | chicago_crime | bird:train.json:8734 | What are the neighborhoods that are located in the North Center community area? | SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.community_area_name = 'North Center' | [
"What",
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"the",
"North",
"Center",
"community",
"area",
"?"
] | [
{
"id": 3,
"type": "column",
"value": "community_area_name"
},
{
"id": 0,
"type": "column",
"value": "neighborhood_name"
},
{
"id": 5,
"type": "column",
"value": "community_area_no"
},
{
"id": 1,
"type": "table",
"value": "community_area"
},
{
"id"... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9,
10
]
},
{
... | [
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"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-TABLE",
"I-TABLE",
"O"
] |
14,119 | college_2 | spider:train_spider.json:1453 | What are the names of students who haven't taken any Biology courses? | SELECT name FROM student WHERE id NOT IN (SELECT T1.id FROM takes AS T1 JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.dept_name = 'Biology') | [
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"the",
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"of",
"students",
"who",
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"taken",
"any",
"Biology",
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] | [
{
"id": 5,
"type": "column",
"value": "dept_name"
},
{
"id": 7,
"type": "column",
"value": "course_id"
},
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 6,
"type": "value",
"value": "Biology"
},
{
"id": 4,
"type": "table",
"value... | [
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"entity_id": 0,
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},
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},
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},
{
"entity_id": 3,
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9
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},
{
"entity_id": 4,
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},
{
"entity... | [
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"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"B-TABLE",
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] |
14,121 | works_cycles | bird:train.json:7340 | Which three sales regions have generated the most revenue thus far? | SELECT TerritoryID FROM SalesTerritory ORDER BY SalesYTD DESC LIMIT 3 | [
"Which",
"three",
"sales",
"regions",
"have",
"generated",
"the",
"most",
"revenue",
"thus",
"far",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "salesterritory"
},
{
"id": 1,
"type": "column",
"value": "territoryid"
},
{
"id": 2,
"type": "column",
"value": "salesytd"
}
] | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
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"O",
"B-COLUMN",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,122 | sakila_1 | spider:train_spider.json:2929 | Return the most common full name among all actors. | SELECT first_name , last_name FROM actor GROUP BY first_name , last_name ORDER BY count(*) DESC LIMIT 1 | [
"Return",
"the",
"most",
"common",
"full",
"name",
"among",
"all",
"actors",
"."
] | [
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 0,
"type": "table",
"value": "actor"
}
] | [
{
"entity_id": 0,
"token_idxs": [
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},
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},
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
14,123 | pilot_1 | bird:test.json:1160 | Return the names of the different planes, as well as the names of the oldest pilots who flew each. | SELECT pilot_name , plane_name , max(age) FROM pilotskills GROUP BY plane_name | [
"Return",
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] | [
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"type": "table",
"value": "pilotskills"
},
{
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},
{
"id": 2,
"type": "column",
"value": "pilot_name"
},
{
"id": 3,
"type": "column",
"value": "age"
}
] | [
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},
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{
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"token_idxs":... | [
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"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
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