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6,109 | donor | bird:train.json:3219 | What is the short description of the project that gives donation to school “301c9bf0a45d159d162b65a93fddd74e”? | SELECT T2.short_description FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.schoolid = '301c9bf0a45d159d162b65a93fddd74e' | [
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6,110 | bike_racing | bird:test.json:1484 | Show the name, nation and result for the cyclists who did not purchase any racing bike. | SELECT name , nation , RESULT FROM cyclist EXCEPT SELECT T1.name , T1.nation , T1.result FROM cyclist AS T1 JOIN cyclists_own_bikes AS T2 ON T1.id = T2.cyclist_id | [
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6,111 | coinmarketcap | bird:train.json:6282 | Name the coins that have three tags. | SELECT name FROM coins WHERE LENGTH(tag_names) - LENGTH(replace(tag_names, ',', '')) = 2 | [
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6,112 | storm_record | spider:train_spider.json:2732 | Find the name of the storm that affected both Afghanistan and Albania regions. | SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.Region_name = 'Afghanistan' INTERSECT SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T... | [
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6,113 | twitter_1 | spider:train_spider.json:281 | Find the name and email of the user whose name contains the word ‘Swift’. | SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%' | [
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6,114 | talkingdata | bird:train.json:1193 | State the category of the label that represented the behavior category of app id 4955831798976240000. | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000 | [
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6,115 | movie_platform | bird:train.json:45 | How many movies have a popularity of more than 400 but less than 500? Indicate the name of the movies and the highest rating score each movie has received. | SELECT T1.movie_title, MAX(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_popularity BETWEEN 400 AND 500 GROUP BY T1.movie_title | [
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6,116 | soccer_2 | spider:train_spider.json:5029 | What are the names of the states that have some college students playing in the positions of goalie and mid-field? | 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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6,117 | computer_student | bird:train.json:976 | What level is course 165? List the professors who teach the course. | SELECT T1.courseLevel, T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.course_id = 165 | [
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6,119 | retails | bird:train.json:6786 | How many items shipped by REG AIR were ordered on March 22, 1995? | SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'REG AIR' AND T1.o_orderdate = '1995-03-22' | [
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6,120 | student_1 | spider:train_spider.json:4044 | Which classrooms are used by grade 5? | SELECT DISTINCT classroom FROM list WHERE grade = 5 | [
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6,121 | shakespeare | bird:train.json:2963 | For how many times has the scene "OLIVIA’S house." appeared in Twelfth Night? | SELECT COUNT(T2.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Description = 'OLIVIA’S house.' AND T1.Title = 'Twelfth Night' | [
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6,122 | menu | bird:train.json:5563 | Among the menus that did not support taking out or booking in advance, how many of them were created before 1950? | SELECT COUNT(*) FROM Menu WHERE call_number IS NULL AND strftime('%Y', date) < '1950' | [
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6,123 | sports_competition | spider:train_spider.json:3375 | Show total points of all players. | SELECT sum(Points) FROM player | [
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6,124 | card_games | bird:dev.json:348 | Describe the information about rulings for card named 'Sublime Epiphany' with number 74s. | SELECT T2.text FROM cards AS T1 INNER JOIN rulings AS T2 ON T1.uuid = T2.uuid WHERE T1.name = 'Sublime Epiphany' AND T1.number = '74s' | [
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6,125 | apartment_rentals | spider:train_spider.json:1251 | Sort the apartment numbers in ascending order of room count. | SELECT apt_number FROM Apartments ORDER BY room_count ASC | [
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6,127 | financial | bird:dev.json:153 | How many 'classic' cards are eligible for loan? | SELECT COUNT(T1.card_id) FROM card AS T1 INNER JOIN disp AS T2 ON T1.disp_id = T2.disp_id WHERE T1.type = 'classic' AND T2.type = 'OWNER' | [
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6,128 | warehouse_1 | bird:test.json:1683 | Find all different contents stored in New York. | SELECT DISTINCT T1.contents FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE LOCATION = 'New York' | [
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6,129 | soccer_2016 | bird:train.json:1975 | What is the ratio of players with batting hands of left and right? | SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id | [
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6,130 | address | bird:train.json:5121 | Calculate the average male median age of all the residential areas in Windham county. | SELECT SUM(T2.male_median_age) / COUNT(T2.median_age) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WINDHAM' | [
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6,131 | music_2 | spider:train_spider.json:5260 | Which vocal type has the band mate with first name "Marianne" played the most? | SELECT TYPE FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Marianne" GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1 | [
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6,132 | storm_record | spider:train_spider.json:2722 | Show all storm names except for those with at least two affected regions. | SELECT name FROM storm EXCEPT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2 | [
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6,133 | cre_Doc_and_collections | bird:test.json:718 | What are the different subsets of documents related to each document id , list the name of the document subset and id of the actual document ? | select distinct t3.document_subset_name , t1.document_object_id from document_subset_members as t1 join document_subset_members as t2 on t1.related_document_object_id = t2.document_object_id join document_subsets as t3 on t2.document_subset_id = t3.document_subset_id | [
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6,134 | bakery_1 | bird:test.json:1512 | What are the receipt numbers for instances where both cakes and cookies were purchased? | SELECT T1.receipt FROM items AS T1 JOIN goods AS T2 ON T1.item = T2.id WHERE T2.food = "Cake" INTERSECT SELECT T1.receipt FROM items AS T1 JOIN goods AS T2 ON T1.item = T2.id WHERE T2.food = "Cookie" | [
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6,135 | retails | bird:train.json:6889 | Which part is ordered in a bigger amount in order no.1, "burnished seashell gainsboro navajo chocolate" or "salmon white grey tan navy"? | SELECT T.p_name FROM ( SELECT T2.p_name, SUM(T1.l_quantity) AS num FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T2.p_name IN ('salmon white grey tan navy', 'burnished seashell gainsboro navajo chocolate') GROUP BY T1.l_partkey ) AS T ORDER BY T.num DESC LIMIT 1 | [
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6,136 | voter_2 | spider:train_spider.json:5472 | Find the distinct last names of the students who have class president votes. | SELECT DISTINCT T1.LName FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = T2.CLASS_President_VOTE | [
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6,137 | bbc_channels | bird:test.json:122 | How many channels have the word 'bbc' in their internet link? | SELECT count(*) FROM channel WHERE internet LIKE "%bbc%" | [
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6,138 | superhero | bird:dev.json:747 | What is the total number of superheroes without full name? | SELECT COUNT(id) FROM superhero WHERE full_name IS NULL | [
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6,139 | ship_1 | spider:train_spider.json:6241 | What are the ranks of captains that have no captain that are in the Third-rate ship of the line class? | SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line' | [
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6,140 | insurance_fnol | spider:train_spider.json:896 | Which policy type appears most frequently in the available policies? | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 | [
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6,141 | workshop_paper | spider:train_spider.json:5836 | Show each author and the number of workshops they submitted to. | SELECT T2.Author , COUNT(DISTINCT T1.workshop_id) FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author | [
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6,142 | restaurant | bird:train.json:1751 | List down the cities with unknown country. | SELECT city FROM geographic WHERE county = 'unknown' | [
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6,143 | baseball_1 | spider:train_spider.json:3680 | How many players did Boston Red Stockings have in 2000? | SELECT count(*) FROM salary AS T1 JOIN team AS T2 ON T1.team_id = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' AND T1.year = 2000 | [
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6,144 | allergy_1 | spider:train_spider.json:447 | Show all allergies with type food. | SELECT DISTINCT allergy FROM Allergy_type WHERE allergytype = "food" | [
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6,145 | movies_4 | bird:train.json:432 | Give the number of movies with "saving the world" as the keyword. | SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world' | [
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6,146 | address | bird:train.json:5167 | List the bad alias of the postal point located in Camuy. | SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Camuy' | [
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6,147 | image_and_language | bird:train.json:7600 | List the object classes of image ID 36 with coordinates (0,0). | SELECT 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 = 36 AND T1.X = 0 AND T1.Y = 0 | [
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6,148 | soccer_2016 | bird:train.json:1832 | Which venue did Kolkata Knight Riders play most of their matches as a Team 1? | SELECT T3.Venue_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 INNER JOIN Venue AS T3 ON T2.Venue_Id = T3.Venue_Id WHERE T1.Team_Name = 'Kolkata Knight Riders' GROUP BY T3.Venue_Id ORDER BY COUNT(T3.Venue_Id) DESC LIMIT 1 | [
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6,149 | toxicology | bird:dev.json:204 | Of the first 100 molecules in number order, how many are carcinogenic? | SELECT COUNT(T.molecule_id) FROM molecule AS T WHERE molecule_id BETWEEN 'TR000' AND 'TR099' AND T.label = '+' | [
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6,150 | cre_Doc_Tracking_DB | spider:train_spider.json:4205 | What is the code of each role and the number of employees in each role? | SELECT role_code , count(*) FROM Employees GROUP BY role_code | [
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6,151 | movie_platform | bird:train.json:37 | How many users rated the movie "The Magnificent Ambersons" gave a rating score of no more than 2? List all the URL to the rating on Mubi. | SELECT COUNT(T2.user_id), T2.rating_url FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'The Magnificent Ambersons' AND T2.rating_score <= 2 | [
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6,152 | chicago_crime | bird:train.json:8768 | District commander Robert A. Rubio was responsible for how many incidents in January, 2018? | SELECT SUM(CASE WHEN SUBSTR(T2.date, 5, 4) = '2018' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio' AND SUBSTR(T2.date, 1, 1) = '1' | [
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6,153 | dorm_1 | spider:train_spider.json:5706 | Find the last name of students who is either female (sex is F) and living in the city of code BAL or male (sex is M) and in age of below 20. | SELECT lname FROM student WHERE sex = 'F' AND city_code = 'BAL' UNION SELECT lname FROM student WHERE sex = 'M' AND age < 20 | [
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6,154 | food_inspection_2 | bird:train.json:6203 | Calculate the total salary for employees who did inspection from ID 52270 to 52272. | SELECT SUM(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id BETWEEN 52270 AND 52272 | [
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6,155 | public_review_platform | bird:train.json:3988 | How many businesses in Tempe are rated as 'Wonderful experience? | SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND stars > 3 | [
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6,156 | behavior_monitoring | spider:train_spider.json:3092 | Return all detention summaries. | SELECT detention_summary FROM Detention | [
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6,157 | trains | bird:train.json:713 | What are the ids of the train running east? | SELECT id FROM trains WHERE direction = 'east' | [
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6,158 | movies_4 | bird:train.json:559 | What is the role of Mark Hammel? | SELECT T2.job FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Mark Hammel' | [
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6,159 | soccer_2 | spider:train_spider.json:4950 | How many players have more than 1000 hours of training? | SELECT count(*) FROM Player WHERE HS > 1000 | [
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6,160 | storm_record | spider:train_spider.json:2700 | List name, dates active, and number of deaths for all storms with at least 1 death. | SELECT name , dates_active , number_deaths FROM storm WHERE number_deaths >= 1 | [
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6,161 | movielens | bird:train.json:2335 | What are the most common film genres made by the worst directors? | SELECT T2.genre FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 0 GROUP BY T2.genre ORDER BY COUNT(T2.movieid) DESC LIMIT 1 | [
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6,162 | cre_Doc_and_collections | bird:test.json:664 | What collection details are there on the subset named 'Top collection'? | SELECT Collecrtion_Subset_Details FROM Collection_Subsets WHERE Collection_Subset_Name = "Top collection"; | [
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6,163 | food_inspection | bird:train.json:8831 | Describe the violation dates, risk categories, descriptions and names of the eateries under Jade Chocolates LLC. | SELECT T1.`date`, T1.risk_category, T1.description, T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.owner_name = 'Jade Chocolates LLC' | [
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6,164 | sports_competition | spider:train_spider.json:3340 | What are the different regions of clubs in ascending alphabetical order? | SELECT DISTINCT Region FROM club ORDER BY Region ASC | [
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6,165 | bike_share_1 | bird:train.json:9073 | What is the average duration of a bike trip made on the day with the hottest temperature ever in 2014? | SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2014%' AND T1.start_station_name = '2nd at Folsom' AND T2.max_temperature_f = ( SELECT max_temperature_f FROM weather ORDER BY max_temperature_f DESC LIMIT 1 ) | [
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6,166 | flight_1 | spider:train_spider.json:397 | Show the flight number and distance of the flight with maximum price. | SELECT flno , distance FROM Flight ORDER BY price DESC LIMIT 1 | [
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6,167 | chicago_crime | bird:train.json:8759 | Among the crimes with no arrest made, how many of them happened in the ward represented by alderman Pat Dowell? | SELECT SUM(CASE WHEN T1.alderman_last_name = 'Dowell' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.arrest = 'FALSE' AND T1.alderman_first_name = 'Pat' | [
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6,168 | music_2 | spider:train_spider.json:5269 | What are the names of all the songs whose album is under the label of "Universal Music Group"? | SELECT T3.title FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE t1.label = "Universal Music Group" | [
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6,169 | real_estate_rentals | bird:test.json:1463 | Return the country in which the user with first name Robbie lives. | SELECT T1.country FROM Addresses AS T1 JOIN Users AS T2 ON T1.address_id = T2.user_address_id WHERE T2.first_name = 'Robbie'; | [
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6,170 | european_football_2 | bird:dev.json:1020 | Which player has the highest overall rating? Indicate the player's api id. | SELECT player_api_id FROM Player_Attributes ORDER BY overall_rating DESC LIMIT 1 | [
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6,171 | manufactory_1 | spider:train_spider.json:5281 | Return the number of companies created by Andy. | SELECT count(*) FROM manufacturers WHERE founder = 'Andy' | [
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6,172 | mondial_geo | bird:train.json:8330 | State the name of the lake in Albania province and in which city does it located at. | SELECT Lake, City FROM located WHERE Province = 'Albania' AND Lake IS NOT NULL | [
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6,173 | works_cycles | bird:train.json:7432 | What is the average pay rate of the employees who worked in the Engineering Departmentin 2007? | SELECT AVG(T3.Rate) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN EmployeePayHistory AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Name = 'Engineering' AND STRFTIME('%Y', EndDate) > '2007' AND STRFTIME('%Y', T1.StartDate) < '2007' | [
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6,174 | sports_competition | spider:train_spider.json:3342 | What is the average number of gold medals for a club? | SELECT avg(Gold) FROM club_rank | [
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6,175 | mondial_geo | bird:train.json:8431 | How much more space does Asia have than Europe? | SELECT MAX(Area) - MIN(Area) FROM continent WHERE Name = 'Asia' OR Name = 'Europe' | [
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6,176 | music_1 | spider:train_spider.json:3560 | What is the average song duration for the songs that are in mp3 format and whose resolution below 800? | SELECT avg(T1.duration) FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T1.formats = "mp3" AND T2.resolution < 800 | [
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6,177 | college_completion | bird:train.json:3747 | In the state with the highest state appropriations to higher education in fiscal year 2011 per resident, which institution has the lowest number of undergraduates in 2010? | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state ... | [
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6,178 | car_retails | bird:train.json:1597 | What is the phone number of all companies where the last name of the contact person starts with the letter M and are not from Germany? | SELECT phone FROM customers WHERE contactLastName LIKE 'M%' AND country != 'Germany' | [
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6,179 | cre_Doc_Workflow | bird:test.json:2051 | What is the process name for the document "Travel to Brazil"? | SELECT T3.process_name FROM Documents_processes AS T1 JOIN Documents AS T2 ON T1.document_id = T2.document_id JOIN Business_processes AS T3 ON T1.process_id = T3.process_id WHERE T2.document_name = "Travel to Brazil" | [
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6,180 | student_loan | bird:train.json:4490 | Calculate the number of students who are not disabled. | SELECT COUNT(CASE WHEN T2.name IS NULL THEN T1.name END) AS "number" FROM person AS T1 LEFT JOIN disabled AS T2 ON T2.name = T1.name | [
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6,181 | pilot_1 | bird:test.json:1105 | Where is the plane F-14 Fighter located? | SELECT LOCATION FROM hangar WHERE plane_name = 'F-14 Fighter' | [
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6,182 | superhero | bird:dev.json:795 | How many superheroes have a neutral alignment? | SELECT COUNT(T1.id) FROM superhero AS T1 INNER JOIN alignment AS T2 ON T1.alignment_id = T2.id WHERE T2.alignment = 'Neutral' | [
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6,183 | movie_3 | bird:train.json:9372 | Name the most recent movie rented by Dorothy Taylor. | SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'DOROTHY' AND T1.last_name = 'TAYLOR' ORDER BY T2.rental_date DESC LIMIT 1 | [
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6,184 | voter_2 | spider:train_spider.json:5510 | What is the most common major among female (sex is F) students? | SELECT Major FROM STUDENT WHERE Sex = "F" GROUP BY major ORDER BY count(*) DESC LIMIT 1 | [
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6,185 | books | bird:train.json:6007 | What percentage of the total prices of all orders are shipped internationally? | SELECT CAST(SUM(CASE WHEN T3.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM cust_order AS T1 INNER JOIN order_line AS T2 ON T1.order_id = T2.order_id INNER JOIN shipping_method AS T3 ON T3.method_id = T1.shipping_method_id | [
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"id": 4,
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"id": 0,
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6,186 | cre_Doc_Workflow | bird:test.json:2032 | Show the next process id, process name, process description for process with id 9. | SELECT next_process_id , process_name , process_description FROM Business_processes WHERE process_id = 9 | [
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6,187 | simpson_episodes | bird:train.json:4302 | List down person's name who has nickname. | SELECT name FROM Person WHERE nickname IS NOT NULL; | [
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6,188 | shakespeare | bird:train.json:3006 | What are the titles and genres of the one-act works of Shakespeare? | SELECT DISTINCT T1.Title, T1.GenreType FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 1 | [
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6,189 | browser_web | spider:train_spider.json:1831 | What are the name and os of web client accelerators that do not work with only a 'Broadband' type connection? | SELECT name , operating_system FROM web_client_accelerator WHERE CONNECTION != 'Broadband' | [
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6,190 | mondial_geo | bird:train.json:8282 | Which city in Japan has the most people in the country? | SELECT T2.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan' ORDER BY T2.Population DESC LIMIT 1 | [
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"id": 4,
"type": "column",
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{
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{
"id": 3,
"type": "value",
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6,191 | local_govt_and_lot | spider:train_spider.json:4856 | What are the resident details containing the substring 'Miss'? | SELECT other_details FROM Residents WHERE other_details LIKE '%Miss%' | [
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"id": 1,
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{
"id": 0,
"type": "table",
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{
"id": 2,
"type": "value",
"value": "%Miss%"
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6,192 | codebase_comments | bird:train.json:625 | How many percent more of the watchers for the repository of solution No.83855 than No.1502? | SELECT CAST(SUM(CASE WHEN T2.Id = 83855 THEN T1.Watchers ELSE 0 END) - SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 1502 THEN T1.Watchers ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId | [
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6,193 | image_and_language | bird:train.json:7523 | Among the objects that have multiple relations, how many images whose captions for the prediction class ids are "on"? | SELECT COUNT(T2.PRED_CLASS_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.OBJ1_SAMPLE_ID != T1.OBJ2_SAMPLE_ID AND T2.PRED_CLASS = 'on' | [
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6,194 | airline | bird:train.json:5830 | Please list the flight numbers of all the flights operated by American Airlines Inc. that were scheduled to depart from John F. Kennedy International. | SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1' | [
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6,195 | restaurant | bird:train.json:1741 | List restaurant ids located in Danville city. | SELECT id_restaurant FROM location WHERE city = 'Danville' | [
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6,196 | college_2 | spider:train_spider.json:1400 | Find the minimum salary for the departments whose average salary is above the average payment of all instructors. | SELECT min(salary) , dept_name FROM instructor GROUP BY dept_name HAVING avg(salary) > (SELECT avg(salary) FROM instructor) | [
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6,197 | car_racing | bird:test.json:1625 | List the make that are associated with most drivers. | SELECT Make FROM driver GROUP BY Make ORDER BY COUNT(*) DESC LIMIT 1 | [
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6,198 | book_press | bird:test.json:2012 | Who wrote the largest number of books? Give me the author name and gender. | SELECT t1.name , t1.gender FROM author AS t1 JOIN book AS t2 ON t1.author_id = t2.author_id GROUP BY t2.author_id ORDER BY count(*) DESC LIMIT 1 | [
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6,199 | professional_basketball | bird:train.json:2829 | Please list the birth date of the player who has won the most MVPs. | SELECT T1.birthDate FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' GROUP BY T1.playerID, T1.birthDate ORDER BY COUNT(award) DESC LIMIT 1 | [
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6,200 | station_weather | spider:train_spider.json:3161 | Find the number and time of the train that goes from Chennai to Guruvayur. | SELECT train_number , TIME FROM train WHERE origin = 'Chennai' AND destination = 'Guruvayur' | [
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"from",
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"."
] | [
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"id": 1,
"type": "column",
"value": "train_number"
},
{
"id": 5,
"type": "column",
"value": "destination"
},
{
"id": 6,
"type": "value",
"value": "Guruvayur"
},
{
"id": 4,
"type": "value",
"value": "Chennai"
},
{
"id": 3,
"type": "column",
... | [
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] |
6,202 | student_club | bird:dev.json:1401 | Indicate the cost of posters for 'September Speaker' event. | SELECT T3.cost FROM event AS T1 INNER JOIN budget AS T2 ON T1.event_id = T2.link_to_event INNER JOIN expense AS T3 ON T2.budget_id = T3.link_to_budget WHERE T1.event_name = 'September Speaker' AND T3.expense_description = 'Posters' | [
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"."
] | [
{
"id": 8,
"type": "column",
"value": "expense_description"
},
{
"id": 7,
"type": "value",
"value": "September Speaker"
},
{
"id": 5,
"type": "column",
"value": "link_to_budget"
},
{
"id": 11,
"type": "column",
"value": "link_to_event"
},
{
"id": 6... | [
{
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},
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"O",
"O",
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"O"
] |
6,203 | csu_1 | spider:train_spider.json:2375 | What is the number of faculty at Long Beach State University in 2002? | SELECT faculty FROM faculty AS T1 JOIN campuses AS T2 ON T1.campus = T2.id WHERE T1.year = 2002 AND T2.campus = "Long Beach State University" | [
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] | [
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"id": 7,
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"value": "Long Beach State University"
},
{
"id": 2,
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"value": "campuses"
},
{
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},
{
"id": 1,
"type": "table",
"value": "faculty"
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{
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"type": "c... | [
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"B-VALUE",
"O"
] |
6,204 | vehicle_driver | bird:test.json:159 | What is the id of the vehicle driven for the least times for the vehicles ever used? | SELECT vehicle_id FROM vehicle_driver GROUP BY vehicle_id ORDER BY count(*) ASC LIMIT 1 | [
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] | [
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"id": 0,
"type": "table",
"value": "vehicle_driver"
},
{
"id": 1,
"type": "column",
"value": "vehicle_id"
}
] | [
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"O",
"O",
"O",
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"O",
"O",
"O"
] |
6,205 | storm_record | spider:train_spider.json:2703 | What is the average and maximum damage in millions for storms that had a max speed over 1000? | SELECT avg(damage_millions_USD) , max(damage_millions_USD) FROM storm WHERE max_speed > 1000 | [
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] | [
{
"id": 3,
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"value": "damage_millions_usd"
},
{
"id": 1,
"type": "column",
"value": "max_speed"
},
{
"id": 0,
"type": "table",
"value": "storm"
},
{
"id": 2,
"type": "value",
"value": "1000"
}
] | [
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"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
6,206 | county_public_safety | spider:train_spider.json:2570 | Show the case burden of counties in descending order of population. | SELECT Case_burden FROM county_public_safety ORDER BY Population DESC | [
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"case",
"burden",
"of",
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"id": 0,
"type": "table",
"value": "county_public_safety"
},
{
"id": 1,
"type": "column",
"value": "case_burden"
},
{
"id": 2,
"type": "column",
"value": "population"
}
] | [
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},
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{
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{
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"tok... | [
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] |
6,207 | music_platform_2 | bird:train.json:7939 | Write all the review titles and the contents belonging to the podcast 'More Stupider: A 90-Day Fiance Podcast' with a review rating of 1. | SELECT title, content FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'More Stupider: A 90-Day Fiance Podcast' ) AND rating = 1 | [
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] | [
{
"id": 7,
"type": "value",
"value": "More Stupider: A 90-Day Fiance Podcast"
},
{
"id": 3,
"type": "column",
"value": "podcast_id"
},
{
"id": 6,
"type": "table",
"value": "podcasts"
},
{
"id": 0,
"type": "table",
"value": "reviews"
},
{
"id": 2,
... | [
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"entity_id": 0,
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},
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"O",
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] |
6,208 | university | bird:train.json:8027 | How many students attended universities were there in 2011? | SELECT SUM(num_students) FROM university_year WHERE year = 2011 | [
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"many",
"students",
"attended",
"universities",
"were",
"there",
"in",
"2011",
"?"
] | [
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"id": 0,
"type": "table",
"value": "university_year"
},
{
"id": 3,
"type": "column",
"value": "num_students"
},
{
"id": 1,
"type": "column",
"value": "year"
},
{
"id": 2,
"type": "value",
"value": "2011"
}
] | [
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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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]
},
{
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"token_idxs": []
},
{
"entity_id": 5,
"... | [
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"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
6,210 | behavior_monitoring | spider:train_spider.json:3099 | Find the first names of teachers whose email address contains the word "man". | SELECT first_name FROM Teachers WHERE email_address LIKE '%man%' | [
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"the",
"first",
"names",
"of",
"teachers",
"whose",
"email",
"address",
"contains",
"the",
"word",
"\"",
"man",
"\"",
"."
] | [
{
"id": 2,
"type": "column",
"value": "email_address"
},
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 0,
"type": "table",
"value": "teachers"
},
{
"id": 3,
"type": "value",
"value": "%man%"
}
] | [
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},
{
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},
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... | [
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"O",
"O",
"O",
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"O"
] |
6,212 | cre_Doc_Workflow | bird:test.json:2039 | What is the description for process status code ct? | SELECT process_status_description FROM Process_status WHERE process_status_code = "ct" | [
"What",
"is",
"the",
"description",
"for",
"process",
"status",
"code",
"ct",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "process_status_description"
},
{
"id": 2,
"type": "column",
"value": "process_status_code"
},
{
"id": 0,
"type": "table",
"value": "process_status"
},
{
"id": 3,
"type": "column",
"value": "ct"
}
] | [
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"entity_id": 0,
"token_idxs": [
5,
6
]
},
{
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id":... | [
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"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"B-COLUMN",
"O"
] |
6,213 | cs_semester | bird:train.json:906 | What is the average GPA of the students with the highest research capability and high salary? List the full names of the students. | SELECT AVG(T2.gpa), T2.f_name, T2.l_name FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'high' AND T1.capability = 5 GROUP BY T2.student_id | [
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"."
] | [
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"id": 0,
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},
{
"id": 8,
"type": "column",
"value": "capability"
},
{
"id": 4,
"type": "table",
"value": "student"
},
{
"id": 1,
"type": "column",
"value": "f_name"
},
{
"id": 2,
"type": "column",
"va... | [
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"token_idxs": []
},
{
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},
{
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},
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"token_idxs": []
},
{
"entity_id": 4,
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23
]
},
{
"entity_id": 5,
"token_idxs"... | [
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"O",
"O",
"O",
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] |
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