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14,232 | student_club | bird:dev.json:1365 | What are the expenses of the budget with the lowest remaining? | SELECT T2.expense_description FROM budget AS T1 INNER JOIN expense AS T2 ON T1.budget_id = T2.link_to_budget ORDER BY T1.remaining LIMIT 1 | [
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14,233 | talkingdata | bird:train.json:1125 | Give the number of "game-Fishing" apps. | SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Fishing' | [
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14,234 | driving_school | spider:train_spider.json:6663 | What are the phone numbers and email addresses of all customers who have an outstanding balance of more than 2000? | SELECT phone_number , email_address FROM Customers WHERE amount_outstanding > 2000; | [
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14,235 | planet_1 | bird:test.json:1898 | What are the ids of all shipments on the planet Mars that are managed by Turanga Leela? | SELECT T1.ShipmentID FROM Shipment AS T1 JOIN Planet AS T2 ON T1.Planet = T2.PlanetID JOIN Employee AS T3 ON T3.EmployeeID = T1.Manager WHERE T2.Name = "Mars" AND T3.Name = "Turanga Leela"; | [
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14,236 | store_1 | spider:train_spider.json:581 | What country does Roberto Almeida live? | SELECT country FROM customers WHERE first_name = "Roberto" AND last_name = "Almeida"; | [
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14,237 | simpson_episodes | bird:train.json:4358 | List the episode ID and title of episode where casting was credited to Bonita Pietila. | SELECT T1.episode_id, T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Bonita Pietila' AND T2.role = 'casting'; | [
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14,238 | assets_maintenance | spider:train_spider.json:3152 | Which company started the earliest the maintenance contract? Show the company name. | SELECT T1.company_name FROM Third_Party_Companies AS T1 JOIN Maintenance_Contracts AS T2 ON T1.company_id = T2.maintenance_contract_company_id ORDER BY T2.contract_start_date ASC LIMIT 1 | [
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14,239 | activity_1 | spider:train_spider.json:6765 | What activities do we have? | SELECT activity_name FROM Activity | [
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14,240 | advertising_agencies | bird:test.json:2133 | Show the staff id and the number of meetings attended by the staff who attended some meeting but had the lowest attendance. | SELECT staff_id , count(*) FROM Staff_in_meetings GROUP BY staff_id ORDER BY count(*) ASC LIMIT 1; | [
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14,241 | works_cycles | bird:train.json:7421 | Please list the credit card numbers of all the employees who have left the Finance Department. | SELECT T3.CardNumber FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN CreditCard AS T3 ON T1.ModifiedDate = T3.ModifiedDate INNER JOIN PersonCreditCard AS T4 ON T3.CreditCardID = T4.CreditCardID WHERE T2.Name = 'Finance' AND T1.EndDate IS NOT NULL | [
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14,243 | wine_1 | spider:train_spider.json:6522 | What are the names of all wines produced in 2008? | SELECT Name FROM WINE WHERE YEAR = "2008" | [
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14,244 | movie_3 | bird:train.json:9160 | How many addresses are there in Woodridge city? | SELECT COUNT(T1.address_id) FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city = 'Woodridge' | [
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14,245 | hockey | bird:train.json:7622 | List all goalies from year 2000 to 2010 for team COL. State their given name, height, weight and age of today. | SELECT T1.nameGiven, T1.height , T1.weight, STRFTIME('%Y', CURRENT_TIMESTAMP) - birthYear FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'COL' AND T2.year >= 2000 AND T2.year <= 2010 GROUP BY T1.playerID | [
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14,246 | computer_student | bird:train.json:987 | Please list the IDs of the teachers who have advised more than 4 others to teach. | SELECT p_id_dummy FROM advisedBy GROUP BY p_id_dummy HAVING COUNT(p_id_dummy) > 4 | [
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14,247 | device | spider:train_spider.json:5052 | List the carriers of devices in ascending alphabetical order. | SELECT Carrier FROM device ORDER BY Carrier ASC | [
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14,248 | professional_basketball | bird:train.json:2852 | From 1950 to 1970, what is the maximum point of players whose teams were ranked 1? | SELECT MAX(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1950 AND 1970 AND T1.rank = 1 | [
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14,249 | customers_card_transactions | spider:train_spider.json:733 | Show all transaction types. | SELECT DISTINCT transaction_type FROM Financial_Transactions | [
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] | [
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"id": 0,
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14,250 | food_inspection | bird:train.json:8853 | Among the violations in 2016, how many of them have unscheduled inspections? | SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T2.type = 'Routine - Unscheduled' | [
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14,251 | tracking_software_problems | spider:train_spider.json:5374 | What are the ids of the problems which are reported before 1978-06-26? | SELECT problem_id FROM problems WHERE date_problem_reported < "1978-06-26" | [
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14,252 | student_1 | spider:train_spider.json:4034 | What are the first names of students studying in room 107? | SELECT DISTINCT firstname FROM list WHERE classroom = 107 | [
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14,253 | game_1 | spider:train_spider.json:6052 | What are the first names and ages of all students who are playing both Football and Lacrosse? | SELECT fname , age FROM Student WHERE StuID IN (SELECT StuID FROM Sportsinfo WHERE SportName = "Football" INTERSECT SELECT StuID FROM Sportsinfo WHERE SportName = "Lacrosse") | [
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14,254 | driving_school | spider:train_spider.json:6671 | How many customers are there? | SELECT count(*) FROM Customers; | [
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14,255 | cre_Theme_park | spider:train_spider.json:5904 | Find all the locations whose names contain the word "film". | SELECT Location_Name FROM LOCATIONS WHERE Location_Name LIKE "%film%" | [
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14,256 | toxicology | bird:dev.json:226 | What is the percentage of double bonds in the molecule TR008? Please provide your answer as a percentage with five decimal places. | SELECT ROUND(CAST(COUNT(CASE WHEN T.bond_type = '=' THEN T.bond_id ELSE NULL END) AS REAL) * 100 / COUNT(T.bond_id),5) FROM bond AS T WHERE T.molecule_id = 'TR008' | [
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14,257 | shakespeare | bird:train.json:3040 | What are the character names in paragraph 3? | SELECT DISTINCT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.ParagraphNum = 3 | [
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14,258 | device | spider:train_spider.json:5073 | What is the name of the shop that has the most different kinds of devices in stock? | SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID ORDER BY COUNT(*) DESC LIMIT 1 | [
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14,259 | olympics | bird:train.json:5010 | How many games has Prithipal Singh participated in? | SELECT COUNT(T2.games_id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Prithipal Singh' | [
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14,260 | boat_1 | bird:test.json:891 | What are the average rating and max age of all sailors? | SELECT AVG(rating) , MAX(age) FROM Sailors | [
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14,261 | donor | bird:train.json:3273 | In which cities are Los Angeles County Suburban Metro Schools located? | SELECT school_city FROM projects WHERE school_metro = 'suburban' AND school_county = 'Los Angeles' | [
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14,263 | college_completion | bird:train.json:3683 | State the name and website of the institutes from the state with 209 graduate cohort in 2011. | SELECT T1.chronname, T1.site FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T1.state = T2.state WHERE T2.year = 2011 AND T2.grad_cohort = 209 | [
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14,264 | retails | bird:train.json:6807 | What is the difference between the number of returned items and not returned items with the full price of under 16947.7? | SELECT SUM(IIF(l_returnflag = 'A', 1, 0)) - SUM(IIF(l_returnflag = 'N', 1, 0)) AS diff FROM lineitem WHERE l_extendedprice < 16947.7 | [
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14,265 | college_2 | spider:train_spider.json:1375 | Given the titles of all courses, in order of titles and credits. | SELECT title FROM course ORDER BY title , credits | [
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14,266 | law_episode | bird:train.json:1316 | What percentage of people have worked on the True North episode as additional crew? | SELECT CAST(SUM(CASE WHEN T2.role = 'Additional Crew' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North' | [
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14,267 | donor | bird:train.json:3225 | Among the projects whose donators are teachers, what is the percentage of projects that affected more than 30 students? | SELECT CAST(SUM(CASE WHEN T1.students_reached > 30 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.is_teacher_acct = 't' | [
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14,268 | scientist_1 | spider:train_spider.json:6494 | What are the names of all the scientists in alphabetical order? | SELECT name FROM scientists ORDER BY name | [
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14,269 | book_1 | bird:test.json:573 | What are sale prices of books written by Plato? | SELECT saleprice FROM Book AS T1 JOIN Author_book AS T2 ON T1.isbn = T2.isbn JOIN Author AS T3 ON T2.Author = T3.idAuthor WHERE T3.name = "Plato" | [
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14,270 | card_games | bird:dev.json:424 | What proportion of cards do not have a text box with a normal layout? | SELECT CAST(SUM(CASE WHEN isTextless = 1 AND layout = 'normal' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM cards | [
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14,271 | language_corpus | bird:train.json:5752 | What is the percentage of the words that have been repeated under 180 times in the Catalan language? | SELECT CAST(COUNT(CASE WHEN T2.occurrences < 180 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.lid) FROM langs AS T1 INNER JOIN langs_words AS T2 ON T1.lid = T2.lid WHERE T1.lang = 'ca' | [
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14,272 | thrombosis_prediction | bird:dev.json:1189 | What number of patients with a degree of thrombosis level 2 and ANA pattern of only S, have a level of anti-Cardiolip in antibody (IgM) 20% higher than average? | SELECT COUNT(*) FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S' AND `aCL IgM` > (SELECT AVG(`aCL IgM`) * 1.2 FROM Examination WHERE Thrombosis = 2 AND `ANA Pattern` = 'S') | [
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14,273 | shop_membership | spider:train_spider.json:5431 | What are the member names and hometowns of those who registered at a branch in 2016? | SELECT T2.name , T2.hometown FROM membership_register_branch AS T1 JOIN member AS T2 ON T1.member_id = T2.member_id WHERE T1.register_year = 2016 | [
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14,274 | mental_health_survey | bird:train.json:4616 | How many respondents who participated in the survey in 2019 have ever sought treatment for a mental health disorder from a mental health professional? | SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 7 AND T1.SurveyID = 2019 AND T1.AnswerText = 1 | [
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14,276 | law_episode | bird:train.json:1300 | What is the title of the 3 worst rated episodes? | SELECT title FROM Episode ORDER BY rating LIMIT 3 | [
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14,277 | club_1 | spider:train_spider.json:4260 | Who are the members of the club named "Hopkins Student Enterprises"? Show the last name. | SELECT t3.lname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Hopkins Student Enterprises" | [
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14,278 | institution_sports | bird:test.json:1649 | What are the maximum and minimum enrollment of all institutions? | SELECT max(Enrollment) , min(Enrollment) FROM institution | [
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14,279 | storm_record | spider:train_spider.json:2711 | What are the names of regions that were not affected? | SELECT region_name FROM region WHERE region_id NOT IN (SELECT region_id FROM affected_region) | [
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14,280 | card_games | bird:dev.json:472 | Among the sets in the block "Ice Age", how many of them have an Italian translation? | SELECT COUNT(DISTINCT T1.id) FROM sets AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.code WHERE T1.block = 'Ice Age' AND T2.language = 'Italian' AND T2.translation IS NOT NULL | [
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14,281 | menu | bird:train.json:5495 | List the names and menu page IDs of the dishes that first appeared in 1861. | SELECT T2.name, T1.dish_id FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.first_appeared = 1861 | [
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14,282 | financial | bird:dev.json:172 | How many owner and disponent dispositions are there from account number 1 to account number 10? | SELECT SUM(type = 'OWNER') , SUM(type = 'DISPONENT') FROM disp WHERE account_id BETWEEN 1 AND 10 | [
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14,283 | soccer_2016 | bird:train.json:1798 | What is the bowling skill used by most players? | SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1 | [
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14,284 | election_representative | spider:train_spider.json:1187 | What are the different parties of representative? Show the party name and the number of representatives in each party. | SELECT Party , COUNT(*) FROM representative GROUP BY Party | [
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14,285 | toxicology | bird:dev.json:239 | How many connections does the atom 19 have? | SELECT COUNT(T.bond_id) FROM connected AS T WHERE SUBSTR(T.atom_id, -2) = '19' | [
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14,286 | retail_world | bird:train.json:6441 | Which product is the most expensive? | SELECT ProductName FROM Products WHERE UnitPrice = ( SELECT MAX(UnitPrice) FROM Products ) | [
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14,287 | chicago_crime | bird:train.json:8636 | What is the legislative district's office address where 010XX W LAKE ST is located? | SELECT T1.ward_office_address FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.block = '010XX W LAKE ST' GROUP BY T1.ward_office_address | [
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14,288 | college_3 | spider:train_spider.json:4638 | Count the number of courses with more than 2 credits. | SELECT count(*) FROM COURSE WHERE Credits > 2 | [
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14,290 | works_cycles | bird:train.json:7052 | Please list the job titles of the employees who has a document that has been approved. | SELECT DISTINCT T2.BusinessEntityID, T2.JobTitle FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T1.Status = 2 | [
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14,291 | soccer_2 | spider:train_spider.json:4983 | What are the different names of the colleges involved in the tryout in alphabetical order? | SELECT DISTINCT cName FROM tryout ORDER BY cName | [
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14,292 | flight_1 | spider:train_spider.json:409 | Which destination has least number of flights? | SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1 | [
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14,294 | law_episode | bird:train.json:1286 | Who is the narrator of the "Flight" episode? | SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Flight' AND T2.role = 'Narrator' | [
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14,295 | world_development_indicators | bird:train.json:2137 | From 1960 to 1965, which country had the highest Death rate, crude (per 1,000 people)? | SELECT CountryName FROM Indicators WHERE Year BETWEEN 1960 AND 1965 AND IndicatorName = 'Death rate, crude (per 1,000 people)' ORDER BY Value DESC LIMIT 1 | [
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14,296 | student_club | bird:dev.json:1400 | Among all events hold by the Student_Club in 2019, find the percentage share of events related to 'Community Service' | SELECT CAST(SUM(CASE WHEN type = 'Community Service' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(type) FROM event WHERE SUBSTR(event_date, 1, 4) = '2019' | [
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14,297 | apartment_rentals | spider:train_spider.json:1246 | Show the apartment type codes and apartment numbers in the buildings managed by "Kyle". | SELECT T2.apt_type_code , T2.apt_number FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T1.building_manager = "Kyle" | [
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14,298 | college_2 | spider:train_spider.json:1327 | Give the name and building of the departments with greater than average budget. | SELECT dept_name , building FROM department WHERE budget > (SELECT avg(budget) FROM department) | [
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"value": "dept_name"
},
{
"id": 2,
"type": "column",
"value": "building"
},
{
"id": 3,
"type": "column",
"value": "budget"
}
] | [
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"O",
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"O",
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"O",
"B-COLUMN",
"O"
] |
14,299 | card_games | bird:dev.json:445 | What is the language and flavor text of the card that has colorpie watermark? List out the type of this card. | SELECT DISTINCT T2.language, T2.flavorText FROM cards AS T1 INNER JOIN foreign_data AS T2 ON T2.uuid = T1.uuid WHERE T1.watermark = 'colorpie' | [
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"id": 3,
"type": "table",
"value": "foreign_data"
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{
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"value": "flavortext"
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{
"id": 4,
"type": "column",
"value": "watermark"
},
{
"id": 0,
"type": "column",
"value": "language"
},
{
"id": 5,
"type": "value",
... | [
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... | [
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"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,300 | products_gen_characteristics | spider:train_spider.json:5527 | What are the different names of the product characteristics? | SELECT DISTINCT characteristic_name FROM CHARACTERISTICS | [
"What",
"are",
"the",
"different",
"names",
"of",
"the",
"product",
"characteristics",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "characteristic_name"
},
{
"id": 0,
"type": "table",
"value": "characteristics"
}
] | [
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"entity_id": 0,
"token_idxs": [
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},
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{
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},
{
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"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,301 | movie_1 | spider:train_spider.json:2505 | For each reviewer id, what is the title and rating for the movie with the smallest rating? | SELECT T2.title , T1.rID , T1.stars , min(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.rID | [
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] | [
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"id": 3,
"type": "table",
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{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "column",
"value": "stars"
},
{
"id": 4,
"type": "table",
"value": "movie"
},
{
"id": 0,
"type": "column",
"value": "rid"
... | [
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]
},
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"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
14,302 | retails | bird:train.json:6894 | What is the profit for part no.98768 in order no.1? | SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey WHERE T1.l_orderkey = 1 AND T1.l_partkey = 98768 | [
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"is",
"the",
"profit",
"for",
"part",
"no.98768",
"in",
"order",
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"?"
] | [
{
"id": 8,
"type": "column",
"value": "l_extendedprice"
},
{
"id": 9,
"type": "column",
"value": "ps_supplycost"
},
{
"id": 3,
"type": "column",
"value": "ps_suppkey"
},
{
"id": 4,
"type": "column",
"value": "l_orderkey"
},
{
"id": 10,
"type": ... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
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},
{
"entity_id": 4,
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},
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"O",
"O",
"O",
"B-TABLE",
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"B-COLUMN",
"O",
"O"
] |
14,303 | card_games | bird:dev.json:456 | What's the list of all types for the card "Molimo, Maro-Sorcerer"? | SELECT DISTINCT subtypes, supertypes FROM cards WHERE name = 'Molimo, Maro-Sorcerer' | [
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"?"
] | [
{
"id": 4,
"type": "value",
"value": "Molimo, Maro-Sorcerer"
},
{
"id": 2,
"type": "column",
"value": "supertypes"
},
{
"id": 1,
"type": "column",
"value": "subtypes"
},
{
"id": 0,
"type": "table",
"value": "cards"
},
{
"id": 3,
"type": "column... | [
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"entity_id": 0,
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},
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{
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14,
15... | [
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"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
14,304 | authors | bird:train.json:3610 | How many papers are published under the conference "Mathematics of Program Construction
"? | SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.FullName = 'Mathematics of Program Construction' | [
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"?"
] | [
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"id": 3,
"type": "value",
"value": "Mathematics of Program Construction"
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{
"id": 5,
"type": "column",
"value": "conferenceid"
},
{
"id": 1,
"type": "table",
"value": "conference"
},
{
"id": 2,
"type": "column",
"value": "fullname"
},
{
"id": 0... | [
{
"entity_id": 0,
"token_idxs": [
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]
},
{
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},
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9,
10,
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12
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},
{
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},... | [
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"I-VALUE",
"I-VALUE",
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"O",
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] |
14,305 | works_cycles | bird:train.json:7151 | Name cellphone number's Type ID? | SELECT PhoneNumberTypeID FROM PhoneNumberType WHERE Name = 'Cell' | [
"Name",
"cellphone",
"number",
"'s",
"Type",
"ID",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "phonenumbertypeid"
},
{
"id": 0,
"type": "table",
"value": "phonenumbertype"
},
{
"id": 2,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "Cell"
}
] | [
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"token_idxs": [
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0
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},
{
"entity_id": 3,
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1
]
},
{
"entity_id": 4,
"token_idxs": []
}... | [
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"B-TABLE",
"I-TABLE",
"I-TABLE",
"B-COLUMN",
"O"
] |
14,306 | cre_Docs_and_Epenses | spider:train_spider.json:6385 | How many accounts do we have? | SELECT count(*) FROM Accounts | [
"How",
"many",
"accounts",
"do",
"we",
"have",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "accounts"
}
] | [
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"entity_id": 0,
"token_idxs": [
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,307 | books | bird:train.json:6012 | How many customers use a Yahoo! Mail e-mail address? | SELECT COUNT(*) FROM customer WHERE email LIKE '%@yahoo.com' | [
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"many",
"customers",
"use",
"a",
"Yahoo",
"!",
"Mail",
"e",
"-",
"mail",
"address",
"?"
] | [
{
"id": 2,
"type": "value",
"value": "%@yahoo.com"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 1,
"type": "column",
"value": "email"
}
] | [
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"entity_id": 0,
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},
{
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},
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"e... | [
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"I-COLUMN",
"O",
"O"
] |
14,308 | party_host | spider:train_spider.json:2683 | Which parties have hosts of age above 50? Give me the party locations. | SELECT T3.Location FROM party_host AS T1 JOIN HOST AS T2 ON T1.Host_ID = T2.Host_ID JOIN party AS T3 ON T1.Party_ID = T3.Party_ID WHERE T2.Age > 50 | [
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"Give",
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"."
] | [
{
"id": 4,
"type": "table",
"value": "party_host"
},
{
"id": 0,
"type": "column",
"value": "location"
},
{
"id": 6,
"type": "column",
"value": "party_id"
},
{
"id": 7,
"type": "column",
"value": "host_id"
},
{
"id": 1,
"type": "table",
"val... | [
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},
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{
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7
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},
{
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},
{
"entit... | [
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"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
14,309 | assets_maintenance | spider:train_spider.json:3151 | Which part has the least chargeable amount? List the part id and amount. | SELECT part_id , chargeable_amount FROM Parts ORDER BY chargeable_amount ASC LIMIT 1 | [
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"part",
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"."
] | [
{
"id": 2,
"type": "column",
"value": "chargeable_amount"
},
{
"id": 1,
"type": "column",
"value": "part_id"
},
{
"id": 0,
"type": "table",
"value": "parts"
}
] | [
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},
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},
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5,
6
]
},
{
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"token_idxs": []
},
{
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},... | [
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"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O"
] |
14,310 | legislator | bird:train.json:4882 | Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator? | SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 14 THEN official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Lutheran' AND T2.state = 'OH' AND T2.type = 'rep' | [
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] | [
{
"id": 10,
"type": "column",
"value": "official_full_name"
},
{
"id": 1,
"type": "table",
"value": "current-terms"
},
{
"id": 4,
"type": "column",
"value": "religion_bio"
},
{
"id": 2,
"type": "column",
"value": "bioguide_id"
},
{
"id": 3,
"ty... | [
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},
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"B-VALUE",
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"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
14,311 | products_gen_characteristics | spider:train_spider.json:5562 | List all characteristics of product named "sesame" with type code "Grade". | SELECT t3.characteristic_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 WHERE t1.product_name = "sesame" AND t3.characteristic_type_code = "Grade" | [
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"type",
"code",
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"Grade",
"\"",
"."
] | [
{
"id": 7,
"type": "column",
"value": "characteristic_type_code"
},
{
"id": 3,
"type": "table",
"value": "product_characteristics"
},
{
"id": 0,
"type": "column",
"value": "characteristic_name"
},
{
"id": 4,
"type": "column",
"value": "characteristic_id"
... | [
{
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"token_idxs": []
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{
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},
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},
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},
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},
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"entity_id": 5,
"token_idxs": ... | [
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"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
14,312 | cre_Doc_Control_Systems | spider:train_spider.json:2114 | List the document ids for any documents with the status code done and the type code paper. | SELECT document_id FROM Documents WHERE document_status_code = "done" AND document_type_code = "Paper"; | [
"List",
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"document",
"ids",
"for",
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"."
] | [
{
"id": 2,
"type": "column",
"value": "document_status_code"
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{
"id": 4,
"type": "column",
"value": "document_type_code"
},
{
"id": 1,
"type": "column",
"value": "document_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 5,
... | [
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"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"I-COLUMN",
"B-COLUMN",
"O"
] |
14,313 | theme_gallery | spider:train_spider.json:1649 | How many artists do we have? | SELECT count(*) FROM artist | [
"How",
"many",
"artists",
"do",
"we",
"have",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "artist"
}
] | [
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"entity_id": 0,
"token_idxs": [
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},
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},
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},
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
14,314 | match_season | spider:train_spider.json:1084 | Show the positions of the players from the team with name "Ryley Goldner". | SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner" | [
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14,315 | citeseer | bird:train.json:4146 | List all the paper ID and its class type that cited the word 'word1002'. | SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1002' | [
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"id": 5,
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14,316 | cookbook | bird:train.json:8906 | List the ingredients in Tomato-Cucumber Relish. | SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Tomato-Cucumber Relish' | [
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"id": 3,
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"id": 7,
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14,317 | retail_world | bird:train.json:6542 | List the full name of employees and titles who have to report to Sales Manager. | SELECT FirstName, LastName, Title FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Sales Manager' ) | [
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"id": 6,
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14,318 | student_loan | bird:train.json:4431 | List out the number of female students who enlisted in the air force. | SELECT COUNT(name) FROM enlist WHERE organ = 'air_force' AND name NOT IN ( SELECT name FROM male ) | [
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14,319 | cre_Doc_and_collections | bird:test.json:668 | What are the details on the document subsets that are named 'Best for 2000'? | SELECT Document_Subset_Details FROM Document_Subsets WHERE Document_Subset_Name = "Best for 2000"; | [
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14,320 | retail_complains | bird:train.json:406 | List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients. | SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client ) | [
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"value": "client"
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14,321 | cre_Students_Information_Systems | bird:test.json:480 | Which students have 'Suite' as a substring in their details? Give me their biographical information. | SELECT bio_data FROM Students WHERE student_details LIKE '%Suite%' | [
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14,322 | formula_1 | spider:train_spider.json:2216 | What are the ids and locations of all circuits in France or Belgium? | SELECT circuitid , LOCATION FROM circuits WHERE country = "France" OR country = "Belgium" | [
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14,323 | music_2 | spider:train_spider.json:5211 | What are the instruments are used in the song "Le Pop"? | SELECT instrument FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop" | [
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14,324 | mondial_geo | bird:train.json:8234 | Calculate the service of GDP for Brazil. | SELECT T2.Service * T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Brazil' | [
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14,325 | student_assessment | spider:train_spider.json:60 | what are the first name and last name of all candidates? | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id | [
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14,326 | behavior_monitoring | spider:train_spider.json:3089 | How many distinct incident type codes are there? | SELECT count(DISTINCT incident_type_code) FROM Behavior_Incident | [
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"id": 1,
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14,328 | store_1 | spider:train_spider.json:594 | What is the full name of the employee who has the most customers? | SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 | [
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14,329 | tracking_software_problems | spider:train_spider.json:5391 | Find the ids of the problems reported after the date of any problems reported by the staff Rylan Homenick. | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported > ( SELECT max(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Rylan" AND T4.staff_last_name = "Homenick" ) | [
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"I-COLUMN",
"I-COLUMN",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,330 | movie_platform | bird:train.json:11 | For all ratings which are rated in year 2020, name the movies which has the rating scored 4 and above. | SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4 | [
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{
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"type": "column",
"value": "movie_id"
},
{
"id": 1,
"type": "table",
"value": "ratings"
},
{
"id": 2,
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] |
14,332 | talkingdata | bird:train.json:1177 | How many females use ZUK Z1 phones in the age group under 23? | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'Z1' AND T1.`group` = 'F23-' AND T2.phone_brand = 'ZUK' | [
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"id": 1,
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{
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"type": "column",
"value": "device_model"
},
{
"id": 9,
"type": "column",
"value": "phone_brand"
},
{
"id": 0,
"type": "table",
"value": "gender_age"
},
{
"id": 2,
"... | [
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] |
14,333 | thrombosis_prediction | bird:dev.json:1265 | How many patients have a normal level of anti-ribonuclear protein and have been admitted to the hospital? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.RNP = 'negative' OR T2.RNP = '0' AND T1.Admission = '+' | [
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"id": 1,
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"value": "admission"
},
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"id": 4,
"type": "value",
"value": "negative"
},
{
"id": 0,
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"value": "patient"
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"val... | [
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"O",
"O",
"O",
"O",
"O"
] |
14,334 | professional_basketball | bird:train.json:2863 | Who is the tallest player in Denver Nuggets since 1980? | SELECT T1.firstName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T3.name = 'Denver Nuggets' AND T2.year > 1980 ORDER BY T1.height DESC LIMIT 1 | [
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] | [
{
"id": 8,
"type": "value",
"value": "Denver Nuggets"
},
{
"id": 5,
"type": "table",
"value": "players_teams"
},
{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 11,
"type": "colum... | [
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] |
14,335 | retail_world | bird:train.json:6471 | List down the company names that have the highest reorder level. | SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products ) | [
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] | [
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"id": 3,
"type": "column",
"value": "reorderlevel"
},
{
"id": 0,
"type": "column",
"value": "companyname"
},
{
"id": 4,
"type": "column",
"value": "supplierid"
},
{
"id": 2,
"type": "table",
"value": "suppliers"
},
{
"id": 1,
"type": "table",... | [
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"entity_id": 0,
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] |
14,336 | movie_3 | bird:train.json:9218 | Among the films rented by Natalie Meyer, describe the titles and categories of the films which were rented in February 2006. | SELECT T3.title, T2.name FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id INNER JOIN customer AS T5 ON T4.store_id = T5.store_id INNER JOIN rental AS T6 ON T4.inventory_id = T6.inv... | [
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] | [
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"id": 18,
"type": "table",
"value": "film_category"
},
{
"id": 4,
"type": "column",
"value": "inventory_id"
},
{
"id": 14,
"type": "column",
"value": "rental_rate"
},
{
"id": 20,
"type": "column",
"value": "category_id"
},
{
"id": 5,
"type": ... | [
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"O",
"O",
"B-VALUE",
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] |
14,337 | match_season | spider:train_spider.json:1078 | What are the official languages of the countries of players from Maryland or Duke college? | SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke" | [
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] | [
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"id": 0,
"type": "column",
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},
{
"id": 2,
"type": "table",
"value": "match_season"
},
{
"id": 3,
"type": "column",
"value": "country_id"
},
{
"id": 6,
"type": "column",
"value": "Maryland"
},
{
"id": 1,
"typ... | [
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{
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"toke... | [
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"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
14,338 | shakespeare | bird:train.json:2989 | In the year 1500s, how many tragedies did Shakespeare write? | SELECT COUNT(id) FROM works WHERE GenreType = 'Tragedy' AND Date BETWEEN 1500 AND 1599 | [
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"id": 2,
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{
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"value": "150... | [
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] |
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