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 |
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13,902 | pilot_1 | bird:test.json:1138 | What are the different plane names, ordered alphabetically? | SELECT DISTINCT plane_name FROM pilotskills ORDER BY plane_name | [
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13,903 | world | bird:train.json:7909 | List down the cities belongs to the country that has surface area greater than 7000000. | SELECT T2.Name, T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea > 7000000 | [
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13,904 | boat_1 | bird:test.json:881 | what is the name and id of every sailor who has a rating greater than 2 and reserved a boat. | SELECT DISTINCT T1.name , T1.sid FROM Sailors AS T1 JOIN Reserves AS T2 ON T1.sid = T2.sid WHERE T1.rating > 2 | [
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13,906 | computer_student | bird:train.json:1013 | List the advisor IDs for students with eighth year of program and position status in faculty of those professors. | SELECT T1.p_id_dummy, T2.hasPosition FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_8' | [
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13,907 | hospital_1 | spider:train_spider.json:3909 | What is the id of the appointment that started most recently? | SELECT appointmentid FROM appointment ORDER BY START DESC LIMIT 1 | [
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13,908 | movie_3 | bird:train.json:9235 | In the film with an inventory ID between 20 to 60, how many of the films have a G rating? | SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.inventory_id BETWEEN 20 AND 60 AND T1.rating = 'G' | [
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13,909 | beer_factory | bird:train.json:5251 | Among all the root beers sold in 2014, what is the percentage of the root beers produced by the brewery AJ Stephans Beverages? | SELECT CAST(COUNT(CASE WHEN T3.BreweryName = 'AJ Stephans Beverages' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014%' | [
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13,910 | financial | bird:dev.json:168 | What percentage of clients who opened their accounts in the district with an average salary of over 10000 are women? | SELECT CAST(SUM(T2.gender = 'F') AS REAL) * 100 / COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.A11 > 10000 | [
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13,911 | world_development_indicators | bird:train.json:2179 | How much is the total urban population of middle income countries in 1960? | SELECT SUM(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup LIKE '%middle income' AND T2.Year = 1960 AND T2.IndicatorName = 'Urban population' | [
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13,912 | customers_and_addresses | spider:train_spider.json:6119 | How many orders have detail "Second time"? | SELECT count(*) FROM customer_orders WHERE order_details = "Second time" | [
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13,913 | wine_1 | spider:train_spider.json:6546 | What is the maximum price of wines from the appelation in the Central Coast area, which was produced before 2005? | SELECT max(T2.Price) FROM APPELLATIONS AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.Area = "Central Coast" AND T2.year < 2005 | [
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13,914 | climbing | spider:train_spider.json:1125 | Return the name of the mountain with the greatest height. | SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1 | [
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13,915 | address | bird:train.json:5110 | What party does the area with the zip code 91701 belong to? | SELECT T1.party FROM congress AS T1 INNER JOIN state AS T2 ON T1.abbreviation = T2.abbreviation INNER JOIN zip_data AS T3 ON T2.abbreviation = T3.state WHERE T3.zip_code = 91701 GROUP BY T1.party | [
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13,916 | restaurant | bird:train.json:1778 | In the Bay Area, what is the most common type of food served by restaurants? | SELECT T2.food_type FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'bay area' GROUP BY T2.food_type ORDER BY COUNT(T2.food_type) DESC LIMIT 1 | [
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13,917 | e_commerce | bird:test.json:53 | What are the ids, names, and prices of all products that are ordered most frequently? | SELECT T1.product_id , T1.product_name , T1.product_price FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id GROUP BY T1.product_id ORDER BY count(*) DESC LIMIT 1 | [
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"id": 2,
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13,918 | network_2 | spider:train_spider.json:4417 | What is the name of the person whose age is below 30? | SELECT name FROM Person WHERE age < 30 | [
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{
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13,919 | image_and_language | bird:train.json:7604 | Write the object classes of image ID 22 alongside the object's width and height. | SELECT T1.W, T1.H, T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 22 | [
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] | [
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"id": 7,
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] |
13,920 | sakila_1 | spider:train_spider.json:2982 | How many kinds of different ratings are listed? | SELECT count(DISTINCT rating) FROM film | [
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"ratings",
"are",
"listed",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "rating"
},
{
"id": 0,
"type": "table",
"value": "film"
}
] | [
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] |
13,921 | cre_Docs_and_Epenses | spider:train_spider.json:6459 | Show ids for all documents in type CV without expense budgets. | SELECT document_id FROM Documents WHERE document_type_code = "CV" EXCEPT SELECT document_id FROM Documents_with_expenses | [
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"id": 1,
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{
"id": 3,
"type": "column",
"value": "document_type_code"
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{
"id": 2,
"type": "column",
"value": "document_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
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{
"id": 4,
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] |
13,923 | advertising_agencies | bird:test.json:2091 | What are client ids for clients with at least 2 invoices. | SELECT client_id FROM Invoices GROUP BY client_id HAVING count(*) >= 2 | [
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"id": 1,
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{
"id": 0,
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{
"id": 2,
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] |
13,924 | european_football_2 | bird:dev.json:1045 | What is the attacking work rate of the football playerr Franco Zennaro? | SELECT DISTINCT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Franco Zennaro' | [
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"id": 0,
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{
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... | [
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] |
13,925 | hospital_1 | spider:train_spider.json:3971 | What are the three most costly procedures? | SELECT name FROM procedures ORDER BY cost LIMIT 3 | [
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"costly",
"procedures",
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] | [
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"id": 0,
"type": "table",
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{
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"type": "column",
"value": "name"
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{
"id": 2,
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"value": "cost"
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13,926 | address | bird:train.json:5132 | Which district has the largest land area in Wisconsin? Write the full name of the congress representative and include the postal codes. | SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Wisconsin' ORDER BY T1.land_area DESC LIMIT 1 | [
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"id": 8,
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{
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{
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},
{
"id": 2,
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13,927 | world_development_indicators | bird:train.json:2159 | List out the name and indicator code of high income: nonOECD countries | SELECT DISTINCT T1.CountryCode, T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'High income: nonOECD' | [
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] | [
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"id": 4,
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] |
13,928 | flight_1 | spider:train_spider.json:367 | How many employees have salary between 100000 and 200000? | SELECT count(*) FROM Employee WHERE salary BETWEEN 100000 AND 200000 | [
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"many",
"employees",
"have",
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] | [
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"id": 0,
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"value": "employee"
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{
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"type": "column",
"value": "salary"
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{
"id": 2,
"type": "value",
"value": "100000"
},
{
"id": 3,
"type": "value",
"value": "200000"
}
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13,929 | loan_1 | spider:train_spider.json:3080 | Find the total amount of loans provided by bank branches in the state of New York. | SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York' | [
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"."
] | [
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"id": 5,
"type": "column",
"value": "branch_id"
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{
"id": 3,
"type": "value",
"value": "New York"
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{
"id": 4,
"type": "column",
"value": "amount"
},
{
"id": 2,
"type": "column",
"value": "state"
},
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"id": 0,
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"value": ... | [
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] |
13,930 | music_1 | spider:train_spider.json:3604 | What is the shortest and most poorly rated song for each genre, ordered alphabetically by genre? | SELECT min(T1.duration) , min(T2.rating) , T2.genre_is FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id GROUP BY T2.genre_is ORDER BY T2.genre_is | [
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"id": 0,
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{
"id": 3,
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{
"id": 4,
"type": "column",
"value": "rating"
},
{
"id": 1,
"type": "table",
"value": "files"
},
{
"id": 2,
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"value": "... | [
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] |
13,931 | retail_world | bird:train.json:6445 | List the first names of the employees who take the orders that ship to the city of "Reims". | SELECT DISTINCT T1.FirstName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.ShipCity = 'Reims' | [
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{
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"O"
] |
13,932 | public_review_platform | bird:train.json:3967 | What is the percentage for the Yelp businesses in "Pets" category of all businesses? | SELECT CAST(SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category_name) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id | [
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] | [
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"id": 0,
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{
"id": 4,
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"id": 2,
"type": "column",
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{
"id": 1,
"type": "table",
"value": "categories"
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{
"id": 7,
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] |
13,933 | synthea | bird:train.json:1428 | Describe the care plans received by the patient with secondary malignant neoplasm of the colon. | SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon' | [
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] | [
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"id": 3,
"type": "value",
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{
"id": 0,
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"type": "table",
"value": "conditions"
},
{
"id": 1,
"type": "table",
"value": "careplans"
},
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13,934 | cars | bird:train.json:3081 | Which is the origin country of the $44274.40748 car? | SELECT T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.price = 44274.40748 | [
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13,935 | app_store | bird:train.json:2520 | What are the top 5 installed free apps? | SELECT App FROM playstore WHERE Price = 0 ORDER BY CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 5 | [
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13,936 | coffee_shop | spider:train_spider.json:792 | Find the ids and names of members who are under age 30 or with black membership card. | SELECT name , member_id FROM member WHERE Membership_card = 'Black' OR age < 30 | [
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13,937 | codebase_community | bird:dev.json:619 | How many adults who obtained the badge Supporter? | SELECT COUNT(T1.Id) FROM users AS T1 INNER JOIN badges AS T2 ON T1.Id = T2.UserId WHERE T2.Name = 'Supporter' AND T1.Age BETWEEN 19 AND 65 | [
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13,938 | customers_and_orders | bird:test.json:240 | What are the ids, type codes, and names for all products? | SELECT product_id , product_type_code , product_name FROM Products | [
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13,939 | books | bird:train.json:6019 | List all the titles of the Spanish books published by Alfaguara. | SELECT T2.title FROM book_language AS T1 INNER JOIN book AS T2 ON T2.language_id = T1.language_id INNER JOIN publisher AS T3 ON T3.publisher_id = T2.publisher_id WHERE T1.language_name = 'Spanish' AND T3.publisher_name = 'Alfaguara' GROUP BY T2.title | [
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13,940 | tracking_share_transactions | spider:train_spider.json:5870 | Show the average amount of transactions for different investors. | SELECT investor_id , avg(amount_of_transaction) FROM TRANSACTIONS GROUP BY investor_id | [
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13,941 | cre_Theme_park | spider:train_spider.json:5936 | What is the average price range of hotels for each each star rating code? | SELECT star_rating_code , avg(price_range) FROM HOTELS GROUP BY star_rating_code | [
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13,942 | college_completion | bird:train.json:3727 | Give the total number of all graduated students from a 2-year public schools in Alabama in 2011. | SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T1.level = '2-year' AND T1.control = 'Public' AND T2.race = 'X' | [
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13,943 | software_company | bird:train.json:8553 | How many teenagers are working as Machine-op-inspct? | SELECT COUNT(ID) teenager_number FROM Customers WHERE OCCUPATION = 'Machine-op-inspct' AND age >= 13 AND age <= 19 | [
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13,944 | conference | bird:test.json:1092 | What are the names of the conferences that have the top 2 most people attending? | SELECT T1.conference_name FROM Conference AS T1 JOIN Conference_participation AS T2 ON T1.conference_id = T2.conference_id GROUP BY T2.conference_id ORDER BY count(*) DESC LIMIT 2 | [
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13,945 | california_schools | bird:dev.json:68 | Which county reported the most number of school closure in the 1980s with school wonership code belonging to Youth Authority Facilities (CEA)? | SELECT County FROM schools WHERE strftime('%Y', ClosedDate) BETWEEN '1980' AND '1989' AND StatusType = 'Closed' AND SOC = 11 GROUP BY County ORDER BY COUNT(School) DESC LIMIT 1 | [
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13,946 | coinmarketcap | bird:train.json:6251 | List the price for Zetacoin on 13/11/1 and the next 7 consecutive days. What is the average price for these 7 days? | SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07' UNION ALL SELECT AVG(T2.PRICE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AN... | [
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13,947 | books | bird:train.json:5926 | How much money on average does Lucas Wyldbore spend on book orders? | SELECT SUM(T1.price) / COUNT(*) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Lucas' AND T3.last_name = 'Wyldbore' | [
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13,949 | cookbook | bird:train.json:8894 | What are the names of the top 5 recipes that are best for wound healing? | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.vitamin_c DESC LIMIT 5 | [
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13,950 | chicago_crime | bird:train.json:8706 | In which ward of more than 55,000 inhabitants are there more crimes of intimidation with extortion? | SELECT T3.ward_no FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN Ward AS T3 ON T3.ward_no = T2.ward_no WHERE T1.primary_description = 'INTIMIDATION' AND T1.secondary_description = 'EXTORTION' AND T3.Population > 55000 GROUP BY T3.ward_no ORDER BY COUNT(T3.ward_no) DESC LIMIT 1 | [
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13,951 | synthea | bird:train.json:1376 | What is the prevalence percentage of condition no. 64859006? | SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006' | [
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13,952 | restaurant | bird:train.json:1724 | Which county is El Cerrito from? | SELECT county FROM geographic WHERE city = 'el cerrito' | [
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13,953 | college_completion | bird:train.json:3754 | What is the name of the school with the highest number of first-time, full-time, degree-seeking female students in the cohort being tracked, minus any exclusions who were seeking another type of degree or certificate at a 4-year institution? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.gender = 'F' AND T2.cohort = '4y other' ORDER BY T2.grad_cohort DESC LIMIT 1 | [
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13,954 | european_football_2 | bird:dev.json:1089 | How many matches in the 2008/2009 season were held in Belgium? | SELECT COUNT(t2.id) FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Belgium' AND t2.season = '2008/2009' | [
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13,955 | pilot_1 | bird:test.json:1178 | How many pilots are older than the youngest pilot who has Piper Cub? | SELECT count(pilot_name) FROM pilotskills WHERE age > (SELECT min(age) FROM pilotskills WHERE plane_name = 'Piper Cub') | [
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13,956 | public_review_platform | bird:train.json:4082 | Among the elite users of 10 consecutive year from 2005 to 2014, list down the user ID and their number of compliment on photos. | SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos' | [
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13,957 | insurance_fnol | spider:train_spider.json:908 | Count the total number of policies used by the customer named "Dayana Robel". | SELECT count(*) FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Dayana Robel" | [
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13,958 | book_1 | bird:test.json:572 | Give the average sale price of books authored by George Orwell. | SELECT avg(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 = "George Orwell" | [
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13,959 | insurance_and_eClaims | spider:train_spider.json:1538 | For each policy type, return its type code and its count in the record. | SELECT policy_type_code , count(*) FROM policies GROUP BY policy_type_code | [
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13,960 | pilot_record | spider:train_spider.json:2095 | Show the names of pilots and the number of records they have. | SELECT T2.Pilot_name , COUNT(*) FROM pilot_record AS T1 JOIN pilot AS T2 ON T1.pilot_ID = T2.pilot_ID GROUP BY T2.Pilot_name | [
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13,961 | music_2 | spider:train_spider.json:5178 | Find all the stage positions of the musicians with first name "Solveig" | SELECT DISTINCT T1.stageposition FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id WHERE Firstname = "Solveig" | [
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13,962 | student_club | bird:dev.json:1345 | How many majors are there in "College of Humanities and Social Sciences"? | SELECT COUNT(major_name) FROM major WHERE college = 'College of Humanities and Social Sciences' | [
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13,963 | card_games | bird:dev.json:523 | What is the annual average number of sets that were released between 1/1/2012 to 12/31/2015? Indicate the common langugage of the card. | SELECT (CAST(SUM(T1.id) AS REAL) / COUNT(T1.id)) / 4, T2.language FROM sets AS T1 INNER JOIN set_translations AS T2 ON T1.id = T2.id WHERE T1.releaseDate BETWEEN '2012-01-01' AND '2015-12-31' GROUP BY T1.releaseDate ORDER BY COUNT(T2.language) DESC LIMIT 1 | [
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13,964 | music_1 | spider:train_spider.json:3609 | Find the names and number of works of the three artists who have produced the most songs. | SELECT T1.artist_name , count(*) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name GROUP BY T2.artist_name ORDER BY count(*) DESC LIMIT 3 | [
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13,965 | customers_and_addresses | spider:train_spider.json:6068 | Find the name of the customers who use the most frequently used payment method. | SELECT customer_name FROM customers WHERE payment_method = (SELECT payment_method FROM customers GROUP BY payment_method ORDER BY count(*) DESC LIMIT 1) | [
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13,966 | planet_1 | bird:test.json:1856 | What is the name of the client who received the heaviest package? | SELECT T2.Name FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Recipient = T2.AccountNumber ORDER BY T1.Weight DESC LIMIT 1 | [
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13,967 | college_1 | spider:train_spider.json:3253 | What is the name of the department that has the largest number of students enrolled? | SELECT T4.dept_name FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN department AS T4 ON T3.dept_code = T4.dept_code GROUP BY T3.dept_code ORDER BY count(*) DESC LIMIT 1 | [
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13,968 | soccer_2 | spider:train_spider.json:5035 | What are the names of all the states with college students playing in the mid position but no goalies? | SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' EXCEPT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie' | [
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13,969 | works_cycles | bird:train.json:7165 | What's Kevin A Wright's email address? | SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Kevin' AND T1.MiddleName = 'A' AND T1.LastName = 'Wright' | [
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13,971 | book_2 | spider:train_spider.json:220 | List the publisher of the publication with the highest price. | SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1 | [
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13,972 | bakery_1 | bird:test.json:1581 | What are the flavors available for Cake but not for Tart? | SELECT DISTINCT flavor FROM goods WHERE food = "Cake" EXCEPT SELECT DISTINCT flavor FROM goods WHERE food = "Tart" | [
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13,973 | legislator | bird:train.json:4875 | List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts. | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NOT NULL AND T2.instagram IS NOT NULL AND T2.twitter IS NOT NULL AND T2.youtube IS NOT NULL | [
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13,975 | cre_Doc_and_collections | bird:test.json:735 | List all name of collections that are related to collection named Best. | SELECT DISTINCT T4.Collection_Name FROM Collection_Subset_Members AS T1 JOIN Collection_Subset_Members AS T2 ON T1.Related_Collection_ID = T2.Collection_ID JOIN Collections AS T3 ON T1.Collection_ID = T3.Collection_ID JOIN Collections AS T4 ON T2.Collection_ID = T4.Collection_ID WHERE T3.Collection_Name = "Best"; | [
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13,976 | soccer_2 | spider:train_spider.json:5028 | Find the names of states that have some college students playing in goalie and mid positions. | SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'goalie' INTERSECT SELECT T1.state FROM college AS T1 JOIN tryout AS T2 ON T1.cName = T2.cName WHERE T2.pPos = 'mid' | [
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13,977 | soccer_1 | spider:train_spider.json:1296 | What is the maximum and minimum height of all players? | SELECT max(weight) , min(weight) FROM Player | [
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13,978 | codebase_comments | bird:train.json:685 | Provide the github address with the summary of method "A test for Decompose
". | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId INNER JOIN Method AS T3 ON T2.Id = T3.SolutionId WHERE T3.Summary = 'A test for Decompose' | [
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13,979 | allergy_1 | spider:train_spider.json:473 | How many students are age 18? | SELECT count(*) FROM Student WHERE age = 18 | [
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13,980 | book_1 | bird:test.json:583 | How many orders do we have for "Pride and Prejudice"? | SELECT count(*) FROM Book AS T1 JOIN Books_Order AS T2 ON T1.isbn = T2.isbn WHERE T1.title = "Pride and Prejudice" | [
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13,981 | college_1 | spider:train_spider.json:3329 | Find the first names of professors who are teaching more than one class. | SELECT T2.emp_fname FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num GROUP BY T1.prof_num HAVING count(*) > 1 | [
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13,983 | performance_attendance | spider:train_spider.json:1313 | Show different locations and the number of performances at each location. | SELECT LOCATION , COUNT(*) FROM performance GROUP BY LOCATION | [
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13,984 | insurance_fnol | spider:train_spider.json:927 | What are the maximum and minimum settlement amount on record? | SELECT max(settlement_amount) , min(settlement_amount) FROM settlements | [
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13,986 | shop_membership | spider:train_spider.json:5415 | What are the different membership levels? | SELECT count(DISTINCT LEVEL) FROM member | [
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"id": 0,
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13,987 | books | bird:train.json:5946 | How many orders in 2022 have Iran as their destinations? | SELECT COUNT(*) FROM country AS T1 INNER JOIN address AS T2 ON T1.country_id = T2.country_id INNER JOIN cust_order AS T3 ON T3.dest_address_id = T2.address_id WHERE T1.country_name = 'Iran' AND STRFTIME('%Y', T3.order_date) = '2022' | [
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13,988 | mental_health_survey | bird:train.json:4583 | What is the oldest age of the users in 2014's survey? | SELECT T2.AnswerText FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'What is your age?' AND T2.SurveyID = 2014 ORDER BY T2.AnswerText DESC LIMIT 1 | [
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13,989 | apartment_rentals | spider:train_spider.json:1270 | Show the apartment numbers of apartments with bookings that have status code both "Provisional" and "Confirmed" | SELECT T2.apt_number FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Confirmed" INTERSECT SELECT T2.apt_number FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Provisional" | [
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13,990 | cre_Doc_Control_Systems | spider:train_spider.json:2108 | List all document ids and receipt dates of documents. | SELECT document_id , receipt_date FROM Documents; | [
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13,991 | cre_Theme_park | spider:train_spider.json:5943 | Show the details and star ratings of the 3 least expensive hotels. | SELECT other_hotel_details , star_rating_code FROM HOTELS ORDER BY price_range ASC LIMIT 3 | [
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13,993 | public_review_platform | bird:train.json:3983 | For the business with great experience existed in Sun Lakes city, provide the user ID who gave review on it and user followers. | SELECT T3.user_id, T3.user_fans FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.city = 'Sun Lakes' AND T1.stars = 5 | [
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13,994 | mountain_photos | spider:train_spider.json:3724 | List the brands of lenses that took both a picture of mountains with range 'Toubkal Atlas' and a picture of mountains with range 'Lasta Massif' | SELECT T3.brand FROM mountain AS T1 JOIN photos AS T2 ON T1.id = T2.mountain_id JOIN camera_lens AS T3 ON T2.camera_lens_id = T3.id WHERE T1.range = 'Toubkal Atlas' INTERSECT SELECT T3.brand FROM mountain AS T1 JOIN photos AS T2 ON T1.id = T2.mountain_id JOIN camera_lens AS T3 ON T2.camera_lens_id = T3.id WHE... | [
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13,995 | retail_world | bird:train.json:6303 | Among the employees working as Sales Representatives, how many of them are located in the UK? | SELECT COUNT(Country) FROM Employees WHERE Title = 'Sales Representative' AND Country = 'UK' | [
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13,996 | card_games | bird:dev.json:480 | What is the Italian flavor text of the card "Ancestor's Chosen"? | SELECT T2.flavorText FROM cards AS T1 INNER JOIN foreign_data AS T2 ON T2.uuid = T1.uuid WHERE T1.name = 'Ancestor''s Chosen' AND T2.language = 'Italian' | [
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"id": 6,
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13,997 | social_media | bird:train.json:780 | What is the text of the tweet that got the most `likes`? | SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter ) | [
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13,998 | music_4 | spider:train_spider.json:6191 | Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top. | SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top > 2 INTERSECT SELECT T1.Famous_Title FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T2.Weeks_on_Top < 2 | [
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"value": "weeks_on_top"
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"type": "column",
"value": "artist_id"
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"id": 1,
"type": "table",
"value": "artist"
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13,999 | books | bird:train.json:5978 | Provide the authors and titles of the books which have more than 3000 pages. | SELECT T3.author_name, T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.num_pages > 3000 | [
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{
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14,000 | world_development_indicators | bird:train.json:2196 | How many countries are using the same type of currency? Please list the short names of any 3 countries. | SELECT ShortName FROM country WHERE currencyunit = 'U.S. dollar' LIMIT 3 | [
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] |
14,001 | assets_maintenance | spider:train_spider.json:3127 | How many assets does each maintenance contract contain? List the number and the contract id. | SELECT count(*) , T1.maintenance_contract_id FROM Maintenance_Contracts AS T1 JOIN Assets AS T2 ON T1.maintenance_contract_id = T2.maintenance_contract_id GROUP BY T1.maintenance_contract_id | [
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"id": 0,
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{
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},
{
"id": 2,
"type": "table",
"value": "assets"
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] | [
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] |
14,002 | cre_Doc_Workflow | bird:test.json:2037 | Show the number of process status. | SELECT count(*) FROM Process_status | [
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"the",
"number",
"of",
"process",
"status",
"."
] | [
{
"id": 0,
"type": "table",
"value": "process_status"
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... | [
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14,003 | cre_Students_Information_Systems | bird:test.json:483 | How many courses do teachers teach at most? Also find the id of the teacher who teaches the most. | SELECT count(*) , teacher_id FROM Classes GROUP BY teacher_id ORDER BY count(*) DESC LIMIT 1 | [
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14,004 | card_games | bird:dev.json:404 | Indicates the name of all the languages into which the set whose number of cards is 309 is translated. | SELECT T2.language FROM sets AS T1 INNER JOIN set_translations AS T2 ON T1.code = T2.setCode WHERE T1.baseSetSize = 309 | [
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"type": "column",
"value": "language"
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{
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"type": "column",
"value": "setcode"
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14,005 | ice_hockey_draft | bird:train.json:6979 | List the names of all players from Avangard Omsk who played in the 2000-2001 season of the International league that have no goals in draft year. | SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.LEAGUE = 'International' AND T1.TEAM = 'Czech Republic (all)' AND T1.G = 0 | [
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{
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{
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] |
14,006 | chinook_1 | spider:train_spider.json:862 | What are the addresses of customers living in Germany who have had an invoice? | SELECT DISTINCT T1.Address FROM CUSTOMER AS T1 JOIN INVOICE AS T2 ON T1.CustomerId = T2.CustomerId WHERE T1.country = "Germany" | [
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] | [
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"value": "address"
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{
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"type": "table",
"value": "invoice"
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"id": 3,
"type": "column",
"valu... | [
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] |
14,007 | superstore | bird:train.json:2376 | Which customer ordered 'Global High-Back Leather Tilter, Burgundy' on 10/13/2013 in the East region? | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Global High-Back Leather Tilter, Burgundy' AND T1.`Order Date` = '2013-10-13' AND T1.Region = 'East' | [
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"type": "column",
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14,008 | driving_school | spider:train_spider.json:6668 | When did customer with first name as Carole and last name as Bernhard became a customer? | SELECT date_became_customer FROM Customers WHERE first_name = "Carole" AND last_name = "Bernhard"; | [
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"id": 1,
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"value": "date_became_customer"
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{
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"id": 0,
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{
"id": 4,
"type": "column",
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"type": "c... | [
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14,009 | allergy_1 | spider:train_spider.json:521 | What are the allergies and their types that the student with first name Lisa has? And order the result by name of allergies. | SELECT T1.Allergy , T1.AllergyType FROM Allergy_type AS T1 JOIN Has_allergy AS T2 ON T1.Allergy = T2.Allergy JOIN Student AS T3 ON T3.StuID = T2.StuID WHERE T3.Fname = "Lisa" ORDER BY T1.Allergy | [
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] | [
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"value": "has_allergy"
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{
"id": 0,
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"value": "allergy"
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