human_gold_50.jsonl

{"question_id": 13692, "db_id": "retail_complains", "dber_id": "bird:train.json:282", "question": "Among the clients born between 1980 and 2000, list the name of male clients who complained through referral.", "SQL": "SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year BETWEEN 1980 AND 2000 AND T1.sex = 'Male' AND T2.`Submitted via` = 'Referral'", "tokens": ["Among", "the", "clients", "born", "between", "1980", "and", "2000", ",", "list", "the", "name", "of", "male", "clients", "who", "complained", "through", "referral", "."], "entities": [{"id": 0, "type": "table", "value": "clients"}, {"id": 1, "type": "value", "value": "1980"}, {"id": 2, "type": "value", "value": "2000"}, {"id": 3, "type": "value", "value": "male"}, {"id": 4, "type": "table", "value": "clients"}, {"id": 5, "type": "value", "value": "referral"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [7]}, {"entity_id": 3, "token_idxs": [13]}, {"entity_id": 4, "token_idxs": [14]}, {"entity_id": 5, "token_idxs": [18]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "O", "O", "O", "O", "B-VALUE", "B-TABLE", "O", "O", "O", "B-VALUE", "O"]}
{"question_id": 10813, "db_id": "superhero", "dber_id": "bird:dev.json:736", "question": "Who is the dumbest superhero?", "SQL": "SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN hero_attribute AS T2 ON T1.id = T2.hero_id INNER JOIN attribute AS T3 ON T2.attribute_id = T3.id WHERE T3.attribute_name = 'Intelligence' ORDER BY T2.attribute_value LIMIT 1", "tokens": ["Who", "is", "the", "dumbest", "superhero", "?"], "entities": [{"id": 0, "type": "table", "value": "superhero"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [4]}], "dber_tags": ["O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 15884, "db_id": "superstore", "dber_id": "bird:train.json:2385", "question": "Who is the customer from the East region that purchased the order with the highest profit?", "SQL": "SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' ORDER BY T1.Profit DESC LIMIT 1", "tokens": ["Who", "is", "the", "customer", "from", "the", "East", "region", "that", "purchased", "the", "order", "with", "the", "highest", "profit", "?"], "entities": [{"id": 0, "type": "column", "value": "customer"}, {"id": 1, "type": "value", "value": "East"}, {"id": 2, "type": "column", "value": "region"}, {"id": 3, "type": "column", "value": "order"}, {"id": 4, "type": "column", "value": "profit"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [7]}, {"entity_id": 3, "token_idxs": [11]}, {"entity_id": 4, "token_idxs": [15]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "B-VALUE", "B-COLUMN", "O", "O", "O", "B-COLUMN", "O", "O", "O", "B-COLUMN", "O"]}
{"question_id": 2664, "db_id": "manufactory_1", "dber_id": "bird:train_spider.json:5301", "question": "What are the names of manufacturers with revenue greater than the average of all revenues?", "SQL": "SELECT name FROM manufacturers WHERE revenue  >  (SELECT avg(revenue) FROM manufacturers)", "tokens": ["What", "are", "the", "names", "of", "manufacturers", "with", "revenue", "greater", "than", "the", "average", "of", "all", "revenues", "?"], "entities": [{"id": 0, "type": "column", "value": "names"}, {"id": 1, "type": "table", "value": "manufacturers"}, {"id": 2, "type": "column", "value": "revenue"}, {"id": 3, "type": "column", "value": "revenues"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [7]}, {"entity_id": 3, "token_idxs": [14]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "B-COLUMN", "O"]}
{"question_id": 7749, "db_id": "college_2", "dber_id": "bird:train_spider.json:1425", "question": "What is the title of the course with Differential Geometry as a prerequisite?", "SQL": "SELECT title FROM course WHERE course_id IN (SELECT T1.course_id FROM prereq AS T1 JOIN course AS T2 ON T1.prereq_id  =  T2.course_id WHERE T2.title  =  'Differential Geometry')", "tokens": ["What", "is", "the", "title", "of", "the", "course", "with", "Differential", "Geometry", "as", "a", "prerequisite", "?"], "entities": [{"id": 0, "type": "column", "value": "title"}, {"id": 1, "type": "table", "value": "course"}, {"id": 2, "type": "value", "value": "Differential Geometry"}, {"id": 3, "type": "table", "value": "prerequisite"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [8, 9]}, {"entity_id": 3, "token_idxs": [12]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "B-VALUE", "I-VALUE", "O", "O", "B-TABLE", "O"]}
{"question_id": 14617, "db_id": "address", "dber_id": "bird:train.json:5109", "question": "Which state is Outagamie County in? Give the full name of the state.", "SQL": "SELECT DISTINCT T2.name FROM country AS T1 INNER JOIN state AS T2 ON T1.state = T2.abbreviation WHERE T1.county = 'OUTAGAMIE'", "tokens": ["Which", "state", "is", "Outagamie", "County", "in", "?", "Give", "the", "full", "name", "of", "the", "state", "."], "entities": [{"id": 0, "type": "table", "value": "state"}, {"id": 1, "type": "value", "value": "Outagamie"}, {"id": 2, "type": "column", "value": "County"}, {"id": 3, "type": "column", "value": "name"}, {"id": 4, "type": "table", "value": "state"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [1]}, {"entity_id": 1, "token_idxs": [3]}, {"entity_id": 2, "token_idxs": [4]}, {"entity_id": 3, "token_idxs": [10]}, {"entity_id": 4, "token_idxs": [13]}], "dber_tags": ["O", "B-TABLE", "O", "B-VALUE", "B-COLUMN", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O"]}
{"question_id": 626, "db_id": "university", "dber_id": "bird:train.json:8072", "question": "In which year did university ID 1 have the most students?", "SQL": "SELECT year FROM university_year WHERE university_id = 1 ORDER BY num_students DESC LIMIT 1", "tokens": ["In", "which", "year", "did", "university", "ID", "1", "have", "the", "most", "students", "?"], "entities": [{"id": 0, "type": "column", "value": "year"}, {"id": 1, "type": "column", "value": "university ID"}, {"id": 2, "type": "value", "value": "1"}, {"id": 3, "type": "column", "value": "students"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [4, 5]}, {"entity_id": 2, "token_idxs": [6]}, {"entity_id": 3, "token_idxs": [10]}], "dber_tags": ["O", "O", "B-COLUMN", "O", "B-COLUMN", "I-COLUMN", "B-VALUE", "O", "O", "O", "B-COLUMN", "O"]}
{"question_id": 7573, "db_id": "e_learning", "dber_id": "bird:train_spider.json:3798", "question": "List the personal names and family names of all the students in alphabetical order of family name.", "SQL": "SELECT personal_name ,  family_name FROM Students ORDER BY family_name", "tokens": ["List", "the", "personal", "names", "and", "family", "names", "of", "all", "the", "students", "in", "alphabetical", "order", "of", "family", "name", "."], "entities": [{"id": 0, "type": "column", "value": "personal names"}, {"id": 1, "type": "column", "value": "family names"}, {"id": 2, "type": "table", "value": "students"}, {"id": 3, "type": "column", "value": "family name"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2, 3]}, {"entity_id": 1, "token_idxs": [5, 6]}, {"entity_id": 2, "token_idxs": [10]}, {"entity_id": 3, "token_idxs": [15, 16]}], "dber_tags": ["O", "O", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O"]}
{"question_id": 9749, "db_id": "soccer_2016", "dber_id": "bird:train.json:1916", "question": "What is the name of the player who has been chosen the most times for 'Man of the Series'?", "SQL": "SELECT T3.Player_Name FROM Season AS T1 INNER JOIN Match AS T2 ON T1.Man_of_the_Series = T2.Man_of_the_Match INNER JOIN Player AS T3 ON T2.Man_of_the_Match = T3.Player_Id GROUP BY T3.Player_Name ORDER BY COUNT(T1.Man_of_the_Series) DESC LIMIT 1", "tokens": ["What", "is", "the", "name", "of", "the", "player", "who", "has", "been", "chosen", "the", "most", "times", "for", "'", "Man", "of", "the", "Series", "'", "?"], "entities": [{"id": 0, "type": "column", "value": "name"}, {"id": 1, "type": "table", "value": "player"}, {"id": 2, "type": "column", "value": "Man of the Series"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [16, 17, 18, 19]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN", "I-COLUMN", "O", "O"]}
{"question_id": 15180, "db_id": "cs_semester", "dber_id": "bird:train.json:922", "question": "Describe the full names, emails and intelligence of the students with the highest capability and salary.", "SQL": "SELECT f_name, l_name, email, intelligence FROM student WHERE student_id IN ( SELECT student_id FROM RA WHERE salary = 'high' AND capability = ( SELECT MAX(capability) FROM RA ) )", "tokens": ["Describe", "the", "full", "names", ",", "emails", "and", "intelligence", "of", "the", "students", "with", "the", "highest", "capability", "and", "salary", "."], "entities": [{"id": 0, "type": "column", "value": "names"}, {"id": 1, "type": "column", "value": "emails"}, {"id": 2, "type": "column", "value": "intelligence"}, {"id": 3, "type": "table", "value": "students"}, {"id": 4, "type": "column", "value": "capability"}, {"id": 5, "type": "column", "value": "salary"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [7]}, {"entity_id": 3, "token_idxs": [10]}, {"entity_id": 4, "token_idxs": [14]}, {"entity_id": 5, "token_idxs": [16]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O"]}
{"question_id": 11266, "db_id": "bbc_channels", "dber_id": "bird:test.json:132", "question": "Find the name and internet web of the channel that is directed by the most directors.", "SQL": "SELECT t1.name ,  t1.internet FROM channel AS t1 JOIN director_admin AS t2 ON t1.channel_id  =  t2.channel_id GROUP BY t1.channel_id ORDER BY count(*) DESC LIMIT 1", "tokens": ["Find", "the", "name", "and", "internet", "web", "of", "the", "channel", "that", "is", "directed", "by", "the", "most", "directors", "."], "entities": [{"id": 0, "type": "column", "value": "name"}, {"id": 1, "type": "column", "value": "internet"}, {"id": 2, "type": "table", "value": "channel"}, {"id": 3, "type": "table", "value": "directors"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [4]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [15]}], "dber_tags": ["O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 10339, "db_id": "movie_3", "dber_id": "bird:train.json:9211", "question": "How many films in the horror category were included in PG-13-rated?", "SQL": "SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror' AND T1.rating = 'PG-13'", "tokens": ["How", "many", "films", "in", "the", "horror", "category", "were", "included", "in", "PG-13", "-", "rated", "?"], "entities": [{"id": 0, "type": "table", "value": "films"}, {"id": 1, "type": "value", "value": "horror"}, {"id": 2, "type": "table", "value": "category"}, {"id": 3, "type": "value", "value": "PG-13"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [6]}, {"entity_id": 3, "token_idxs": [10]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "B-VALUE", "B-TABLE", "O", "O", "O", "B-VALUE", "O", "O", "O"]}
{"question_id": 11931, "db_id": "customers_and_addresses", "dber_id": "bird:train_spider.json:6102", "question": "Compute the average active time span of contact channels.", "SQL": "SELECT avg(active_to_date - active_from_date) FROM customer_contact_channels", "tokens": ["Compute", "the", "average", "active", "time", "span", "of", "contact", "channels", "."], "entities": [{"id": 0, "type": "column", "value": "active"}, {"id": 1, "type": "table", "value": "contact channels"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [7, 8]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "O", "B-TABLE", "I-TABLE", "O"]}
{"question_id": 10972, "db_id": "bike_1", "dber_id": "bird:train_spider.json:123", "question": "For each zip code, return the average mean temperature of August there.", "SQL": "SELECT zip_code  ,  avg(mean_temperature_f) FROM weather WHERE date LIKE \"8/%\" GROUP BY zip_code", "tokens": ["For", "each", "zip", "code", ",", "return", "the", "average", "mean", "temperature", "of", "August", "there", "."], "entities": [{"id": 0, "type": "column", "value": "zip code"}, {"id": 1, "type": "column", "value": "mean temperature"}, {"id": 2, "type": "value", "value": "August"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2, 3]}, {"entity_id": 1, "token_idxs": [8, 9]}, {"entity_id": 2, "token_idxs": [11]}], "dber_tags": ["O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-VALUE", "O", "O"]}
{"question_id": 10501, "db_id": "menu", "dber_id": "bird:train.json:5515", "question": "What is the page count for menu with page ID of 130?", "SQL": "SELECT T1.page_count FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.id = 130", "tokens": ["What", "is", "the", "page", "count", "for", "menu", "with", "page", "ID", "of", "130", "?"], "entities": [{"id": 0, "type": "column", "value": "page count"}, {"id": 1, "type": "table", "value": "menu"}, {"id": 2, "type": "column", "value": "page ID"}, {"id": 3, "type": "value", "value": "130"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3, 4]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [8, 9]}, {"entity_id": 3, "token_idxs": [11]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "O", "B-COLUMN", "I-COLUMN", "O", "B-VALUE", "O"]}
{"question_id": 10468, "db_id": "video_games", "dber_id": "bird:train.json:3496", "question": "List down the name of strategy games.", "SQL": "SELECT T1.game_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Strategy'", "tokens": ["List", "down", "the", "name", "of", "strategy", "games", "."], "entities": [{"id": 0, "type": "column", "value": "name"}, {"id": 1, "type": "value", "value": "strategy"}, {"id": 2, "type": "table", "value": "games"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [6]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-VALUE", "B-TABLE", "O"]}
{"question_id": 7491, "db_id": "soccer_2016", "dber_id": "bird:train.json:1794", "question": "Among the players who use the right hand as their batting hand, how many of them were born after 1985?", "SQL": "SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'", "tokens": ["Among", "the", "players", "who", "use", "the", "right", "hand", "as", "their", "batting", "hand", ",", "how", "many", "of", "them", "were", "born", "after", "1985", "?"], "entities": [{"id": 0, "type": "table", "value": "players"}, {"id": 1, "type": "value", "value": "right hand"}, {"id": 2, "type": "column", "value": "batting hand"}, {"id": 3, "type": "value", "value": "1985"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [6, 7]}, {"entity_id": 2, "token_idxs": [10, 11]}, {"entity_id": 3, "token_idxs": [20]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "B-VALUE", "O"]}
{"question_id": 12432, "db_id": "party_people", "dber_id": "bird:train_spider.json:2044", "question": "Count the number of different parties.", "SQL": "SELECT count(DISTINCT party_name) FROM party", "tokens": ["Count", "the", "number", "of", "different", "parties", "."], "entities": [{"id": 0, "type": "table", "value": "parties"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [5]}], "dber_tags": ["O", "O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 13905, "db_id": "railway", "dber_id": "bird:train_spider.json:5648", "question": "List the object number of railways that do not have any trains.", "SQL": "SELECT ObjectNumber FROM railway WHERE Railway_ID NOT IN (SELECT Railway_ID FROM train)", "tokens": ["List", "the", "object", "number", "of", "railways", "that", "do", "not", "have", "any", "trains", "."], "entities": [{"id": 0, "type": "column", "value": "object number"}, {"id": 1, "type": "table", "value": "railways"}, {"id": 2, "type": "table", "value": "trains"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2, 3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [11]}], "dber_tags": ["O", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 10403, "db_id": "ship_mission", "dber_id": "bird:train_spider.json:4007", "question": "What are the names of the ships  that are from either the US or the UK?", "SQL": "SELECT Name FROM ship WHERE Nationality  =  \"United States\" OR Nationality  =  \"United Kingdom\"", "tokens": ["What", "are", "the", "names", "of", "the", "ships", " ", "that", "are", "from", "either", "the", "US", "or", "the", "UK", "?"], "entities": [{"id": 0, "type": "column", "value": "names"}, {"id": 1, "type": "table", "value": "ships"}, {"id": 2, "type": "value", "value": "US"}, {"id": 3, "type": "value", "value": "UK"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [13]}, {"entity_id": 3, "token_idxs": [16]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "O", "B-VALUE", "O", "O", "B-VALUE", "O"]}
{"question_id": 9132, "db_id": "assets_maintenance", "dber_id": "bird:train_spider.json:3128", "question": "How many assets does each third party company supply? List the count and the company id.", "SQL": "SELECT count(*) ,  T1.company_id FROM Third_Party_Companies AS T1 JOIN Assets AS T2 ON T1.company_id  =  T2.supplier_company_id GROUP BY T1.company_id", "tokens": ["How", "many", "assets", "does", "each", "third", "party", "company", "supply", "?", "List", "the", "count", "and", "the", "company", "i", "d."], "entities": [{"id": 0, "type": "table", "value": "assets"}, {"id": 1, "type": "table", "value": "third party company"}, {"id": 2, "type": "column", "value": "company i d."}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [5, 6, 7]}, {"entity_id": 2, "token_idxs": [15, 16, 17]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "B-TABLE", "I-TABLE", "I-TABLE", "O", "O", "O", "O", "O", "O", "O", "B-COLUMN", "I-COLUMN", "I-COLUMN"]}
{"question_id": 3997, "db_id": "college_2", "dber_id": "bird:train_spider.json:1407", "question": "What is the year and semester with the most courses?", "SQL": "SELECT semester ,  YEAR FROM SECTION GROUP BY semester ,  YEAR ORDER BY count(*) DESC LIMIT 1", "tokens": ["What", "is", "the", "year", "and", "semester", "with", "the", "most", "courses", "?"], "entities": [{"id": 0, "type": "column", "value": "year"}, {"id": 1, "type": "column", "value": "semester"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "O", "O", "O"]}
{"question_id": 10862, "db_id": "loan_1", "dber_id": "bird:train_spider.json:3079", "question": "What are the names of banks that have loaned money to customers with credit scores below 100?", "SQL": "SELECT T2.bname FROM loan AS T1 JOIN bank AS T2 ON T1.branch_id  =  T2.branch_id JOIN customer AS T3 ON T1.cust_id  =  T3.cust_id WHERE T3.credit_score  <  100", "tokens": ["What", "are", "the", "names", "of", "banks", "that", "have", "loaned", "money", "to", "customers", "with", "credit", "scores", "below", "100", "?"], "entities": [{"id": 0, "type": "column", "value": "names"}, {"id": 1, "type": "table", "value": "banks"}, {"id": 2, "type": "table", "value": "loaned"}, {"id": 3, "type": "table", "value": "customers"}, {"id": 4, "type": "column", "value": "credit scores"}, {"id": 5, "type": "value", "value": "100"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [11]}, {"entity_id": 4, "token_idxs": [13, 14]}, {"entity_id": 5, "token_idxs": [16]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "B-TABLE", "O", "O", "B-TABLE", "O", "B-COLUMN", "I-COLUMN", "O", "B-VALUE", "O"]}
{"question_id": 3111, "db_id": "retails", "dber_id": "bird:train.json:6822", "question": "What is the largest supplier's account balance?", "SQL": "SELECT MAX(s_acctbal) FROM supplier", "tokens": ["What", "is", "the", "largest", "supplier", "'s", "account", "balance", "?"], "entities": [{"id": 0, "type": "table", "value": "supplier"}, {"id": 1, "type": "column", "value": "account balance"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [4]}, {"entity_id": 1, "token_idxs": [6, 7]}], "dber_tags": ["O", "O", "O", "O", "B-TABLE", "O", "B-COLUMN", "I-COLUMN", "O"]}
{"question_id": 3119, "db_id": "cars", "dber_id": "bird:train.json:3132", "question": "Calculate the average production rate per year from 1971 to 1980. Among them, name the cars with a weight of fewer than 1800 lbs.", "SQL": "SELECT CAST(COUNT(T1.ID) AS REAL) / 9 FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 UNION ALL SELECT DISTINCT T2.car_name FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 AND T2.weight < 1800", "tokens": ["Calculate", "the", "average", "production", "rate", "per", "year", "from", "1971", "to", "1980", ".", "Among", "them", ",", "name", "the", "cars", "with", "a", "weight", "of", "fewer", "than", "1800", "lbs", "."], "entities": [{"id": 0, "type": "table", "value": "production"}, {"id": 1, "type": "column", "value": "year"}, {"id": 2, "type": "value", "value": "1971"}, {"id": 3, "type": "value", "value": "1980"}, {"id": 4, "type": "column", "value": "name"}, {"id": 5, "type": "column", "value": "cars"}, {"id": 6, "type": "column", "value": "weight"}, {"id": 7, "type": "value", "value": "1800"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [10]}, {"entity_id": 4, "token_idxs": [15]}, {"entity_id": 5, "token_idxs": [17]}, {"entity_id": 6, "token_idxs": [20]}, {"entity_id": 7, "token_idxs": [24]}], "dber_tags": ["O", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "B-VALUE", "O", "B-VALUE", "O", "O", "O", "O", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O", "O"]}
{"question_id": 9771, "db_id": "books", "dber_id": "bird:train.json:6080", "question": "Name the title of the book with the most number of pages that was published from 1990 to 2000 by publisher Free Press.", "SQL": "SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Free Press' AND STRFTIME('%Y', T1.publication_date) BETWEEN '1990' AND '2000' ORDER BY T1.num_pages DESC LIMIT 1", "tokens": ["Name", "the", "title", "of", "the", "book", "with", "the", "most", "number", "of", "pages", "that", "was", "published", "from", "1990", "to", "2000", "by", "publisher", "Free", "Press", "."], "entities": [{"id": 0, "type": "column", "value": "title"}, {"id": 1, "type": "table", "value": "book"}, {"id": 2, "type": "column", "value": "pages"}, {"id": 3, "type": "value", "value": "1990"}, {"id": 4, "type": "value", "value": "2000"}, {"id": 5, "type": "table", "value": "publisher"}, {"id": 6, "type": "value", "value": "Free Press"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [11]}, {"entity_id": 3, "token_idxs": [16]}, {"entity_id": 4, "token_idxs": [18]}, {"entity_id": 5, "token_idxs": [20]}, {"entity_id": 6, "token_idxs": [21, 22]}], "dber_tags": ["O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "B-TABLE", "B-VALUE", "I-VALUE", "O"]}
{"question_id": 1124, "db_id": "small_bank_1", "dber_id": "bird:train_spider.json:1822", "question": "Find the name and total checking and savings balance of the accounts whose savings balance is lower than corresponding checking balance.", "SQL": "SELECT T1.name ,  T3.balance + T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid  =  T2.custid JOIN savings AS T3 ON T1.custid  =  T3.custid WHERE T3.balance  <  T2.balance", "tokens": ["Find", "the", "name", "and", "total", "checking", "and", "savings", "balance", "of", "the", "accounts", "whose", "savings", "balance", "is", "lower", "than", "corresponding", "checking", "balance", "."], "entities": [{"id": 0, "type": "column", "value": "name"}, {"id": 1, "type": "table", "value": "checking"}, {"id": 2, "type": "table", "value": "savings"}, {"id": 3, "type": "column", "value": "balance"}, {"id": 4, "type": "table", "value": "accounts"}, {"id": 5, "type": "table", "value": "savings"}, {"id": 6, "type": "column", "value": "balance"}, {"id": 7, "type": "table", "value": "checking"}, {"id": 8, "type": "column", "value": "balance"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [7]}, {"entity_id": 3, "token_idxs": [8]}, {"entity_id": 4, "token_idxs": [11]}, {"entity_id": 5, "token_idxs": [13]}, {"entity_id": 6, "token_idxs": [14]}, {"entity_id": 7, "token_idxs": [19]}, {"entity_id": 8, "token_idxs": [20]}], "dber_tags": ["O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "B-TABLE", "B-COLUMN", "O", "O", "B-TABLE", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O"]}
{"question_id": 4861, "db_id": "car_racing", "dber_id": "bird:test.json:1605", "question": "What are the maximum and minimum points of drivers.", "SQL": "SELECT max(Points) ,  min(Points) FROM driver", "tokens": ["What", "are", "the", "maximum", "and", "minimum", "points", "of", "drivers", "."], "entities": [{"id": 0, "type": "column", "value": "points"}, {"id": 1, "type": "table", "value": "drivers"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [6]}, {"entity_id": 1, "token_idxs": [8]}], "dber_tags": ["O", "O", "O", "O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O"]}
{"question_id": 11149, "db_id": "retail_world", "dber_id": "bird:train.json:6364", "question": "What is the most widely used shipping company in the United States of America?", "SQL": "SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.ShipCountry = 'USA' GROUP BY T2.CompanyName ORDER BY COUNT(T2.CompanyName) DESC LIMIT 1", "tokens": ["What", "is", "the", "most", "widely", "used", "shipping", "company", "in", "the", "United", "States", "of", "America", "?"], "entities": [{"id": 0, "type": "table", "value": "shipping"}, {"id": 1, "type": "column", "value": "company"}, {"id": 2, "type": "value", "value": "United States of America"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [6]}, {"entity_id": 1, "token_idxs": [7]}, {"entity_id": 2, "token_idxs": [10, 11, 12, 13]}], "dber_tags": ["O", "O", "O", "O", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "B-VALUE", "I-VALUE", "I-VALUE", "I-VALUE", "O"]}
{"question_id": 1020, "db_id": "image_and_language", "dber_id": "bird:train.json:7486", "question": "Please list the IDs of all the images with more than 2 pairs of object samples with the relation \"parked on\".", "SQL": "SELECT T2.IMG_ID FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.PRED_CLASS = 'parked on' AND T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID GROUP BY T2.IMG_ID HAVING COUNT(T2.IMG_ID) > 2", "tokens": ["Please", "list", "the", "IDs", "of", "all", "the", "images", "with", "more", "than", "2", "pairs", "of", "object", "samples", "with", "the", "relation", "\"", "parked", "on", "\"", "."], "entities": [{"id": 0, "type": "table", "value": "images"}, {"id": 1, "type": "value", "value": "2"}, {"id": 2, "type": "column", "value": "object samples"}, {"id": 3, "type": "value", "value": "parked on"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [7]}, {"entity_id": 1, "token_idxs": [11]}, {"entity_id": 2, "token_idxs": [14, 15]}, {"entity_id": 3, "token_idxs": [20, 21]}], "dber_tags": ["O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "O"]}
{"question_id": 12184, "db_id": "mondial_geo", "dber_id": "bird:train.json:8281", "question": "What is the area of Egypt as a percentage of Asia?", "SQL": "SELECT T1.Area * 100 / T3.Area FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent WHERE T3.Name = 'Asia' AND T1.Name = 'Egypt'", "tokens": ["What", "is", "the", "area", "of", "Egypt", "as", "a", "percentage", "of", "Asia", "?"], "entities": [{"id": 0, "type": "column", "value": "area"}, {"id": 1, "type": "value", "value": "Egypt"}, {"id": 2, "type": "column", "value": "percentage"}, {"id": 3, "type": "value", "value": "Asia"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [10]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-VALUE", "O", "O", "B-COLUMN", "O", "B-VALUE", "O"]}
{"question_id": 15047, "db_id": "legislator", "dber_id": "bird:train.json:4873", "question": "How many Jewish legislators do not have facebook?", "SQL": "SELECT COUNT(T3.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NULL GROUP BY T1.bioguide_id ) T3", "tokens": ["How", "many", "Jewish", "legislators", "do", "not", "have", "facebook", "?"], "entities": [{"id": 0, "type": "value", "value": "Jewish"}, {"id": 1, "type": "column", "value": "facebook"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [7]}], "dber_tags": ["O", "O", "B-VALUE", "O", "O", "O", "O", "B-COLUMN", "O"]}
{"question_id": 14791, "db_id": "region_building", "dber_id": "bird:test.json:335", "question": "Show the names of regions that have more than one building.", "SQL": "SELECT T2.Name FROM building AS T1 JOIN region AS T2 ON T1.Region_ID  =  T2.Region_ID GROUP BY T1.Region_ID HAVING COUNT(*)  >  1", "tokens": ["Show", "the", "names", "of", "regions", "that", "have", "more", "than", "one", "building", "."], "entities": [{"id": 0, "type": "column", "value": "names"}, {"id": 1, "type": "table", "value": "regions"}, {"id": 2, "type": "value", "value": "one"}, {"id": 3, "type": "table", "value": "building"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [4]}, {"entity_id": 2, "token_idxs": [9]}, {"entity_id": 3, "token_idxs": [10]}], "dber_tags": ["O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "O", "O", "B-VALUE", "B-TABLE", "O"]}
{"question_id": 4173, "db_id": "codebase_community", "dber_id": "bird:dev.json:676", "question": "Please list all display names of users who are adults.", "SQL": "SELECT DisplayName FROM users WHERE Age BETWEEN 19 AND 65", "tokens": ["Please", "list", "all", "display", "names", "of", "users", "who", "are", "adults", "."], "entities": [{"id": 0, "type": "column", "value": "display names"}, {"id": 1, "type": "table", "value": "users"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3, 4]}, {"entity_id": 1, "token_idxs": [6]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "O", "O", "O", "O"]}
{"question_id": 15346, "db_id": "student_1", "dber_id": "bird:train_spider.json:4072", "question": "How many teachers does the student named CHRISSY NABOZNY have?", "SQL": "SELECT count(*) FROM list AS T1 JOIN teachers AS T2 ON T1.classroom  =  T2.classroom WHERE T1.firstname  =  \"CHRISSY\" AND T1.lastname  =  \"NABOZNY\"", "tokens": ["How", "many", "teachers", "does", "the", "student", "named", "CHRISSY", "NABOZNY", "have", "?"], "entities": [{"id": 0, "type": "table", "value": "teachers"}, {"id": 1, "type": "column", "value": "named"}, {"id": 2, "type": "value", "value": "CHRISSY NABOZNY"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [7, 8]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "B-VALUE", "I-VALUE", "O", "O"]}
{"question_id": 7814, "db_id": "network_2", "dber_id": "bird:train_spider.json:4469", "question": "Which friend of Zach has the longest-lasting friendship?", "SQL": "SELECT friend FROM PersonFriend WHERE name =  'Zach' AND YEAR  =  (SELECT max(YEAR) FROM PersonFriend WHERE name =  'Zach')", "tokens": ["Which", "friend", "of", "Zach", "has", "the", "longest", "-", "lasting", "friendship", "?"], "entities": [{"id": 0, "type": "column", "value": "friend"}, {"id": 1, "type": "value", "value": "Zach"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [1]}, {"entity_id": 1, "token_idxs": [3]}], "dber_tags": ["O", "B-COLUMN", "O", "B-VALUE", "O", "O", "O", "O", "O", "O", "O"]}
{"question_id": 5728, "db_id": "college_2", "dber_id": "bird:train_spider.json:1415", "question": "Give id of the instructor who advises students in the History department.", "SQL": "SELECT i_id FROM advisor AS T1 JOIN student AS T2 ON T1.s_id  =  T2.id WHERE T2.dept_name  =  'History'", "tokens": ["Give", "i", "d", "of", "the", "instructor", "who", "advises", "students", "in", "the", "History", "department", "."], "entities": [{"id": 0, "type": "column", "value": "i d"}, {"id": 1, "type": "table", "value": "advises students"}, {"id": 2, "type": "value", "value": "History"}, {"id": 3, "type": "table", "value": "department"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [1, 2]}, {"entity_id": 1, "token_idxs": [7, 8]}, {"entity_id": 2, "token_idxs": [11]}, {"entity_id": 3, "token_idxs": [12]}], "dber_tags": ["O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "B-TABLE", "I-TABLE", "O", "O", "B-VALUE", "B-TABLE", "O"]}
{"question_id": 8786, "db_id": "olympics", "dber_id": "bird:train.json:5027", "question": "How many competitors were there who participated in 2000 Summer with age 31?", "SQL": "SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2000 Summer' AND T2.age = 31", "tokens": ["How", "many", "competitors", "were", "there", "who", "participated", "in", "2000", "Summer", "with", "age", "31", "?"], "entities": [{"id": 0, "type": "table", "value": "competitors"}, {"id": 1, "type": "value", "value": "2000 Summer"}, {"id": 2, "type": "column", "value": "age"}, {"id": 3, "type": "value", "value": "31"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [8, 9]}, {"entity_id": 2, "token_idxs": [11]}, {"entity_id": 3, "token_idxs": [12]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "B-COLUMN", "B-VALUE", "O"]}
{"question_id": 2900, "db_id": "public_review_platform", "dber_id": "bird:train.json:3973", "question": "Based on all user compliments, find the percentage of low number of compliments on all compliments ID.", "SQL": "SELECT CAST(SUM(CASE WHEN number_of_compliments = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users_compliments", "tokens": ["Based", "on", "all", "user", "compliments", ",", "find", "the", "percentage", "of", "low", "number", "of", "compliments", "on", "all", "compliments", "ID", "."], "entities": [{"id": 0, "type": "table", "value": "user compliments"}, {"id": 1, "type": "value", "value": "low"}, {"id": 2, "type": "column", "value": "number"}, {"id": 3, "type": "column", "value": "compliments"}, {"id": 4, "type": "column", "value": "compliments ID"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3, 4]}, {"entity_id": 1, "token_idxs": [10]}, {"entity_id": 2, "token_idxs": [11]}, {"entity_id": 3, "token_idxs": [13]}, {"entity_id": 4, "token_idxs": [16, 17]}], "dber_tags": ["O", "O", "O", "B-TABLE", "I-TABLE", "O", "O", "O", "O", "O", "B-VALUE", "B-COLUMN", "O", "B-COLUMN", "O", "O", "B-COLUMN", "I-COLUMN", "O"]}
{"question_id": 3388, "db_id": "tracking_grants_for_research", "dber_id": "bird:train_spider.json:4323", "question": "What are the details of the project that is producing both patents and papers as outcomes?", "SQL": "SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id  =  T2.project_id WHERE T2.outcome_code  =  'Paper' INTERSECT SELECT T1.project_details FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id  =  T2.project_id WHERE T2.outcome_code  =  'Patent'", "tokens": ["What", "are", "the", "details", "of", "the", "project", "that", "is", "producing", "both", "patents", "and", "papers", "as", "outcomes", "?"], "entities": [{"id": 0, "type": "column", "value": "details"}, {"id": 1, "type": "table", "value": "project"}, {"id": 2, "type": "value", "value": "patents"}, {"id": 3, "type": "value", "value": "papers"}, {"id": 4, "type": "column", "value": "outcomes"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [6]}, {"entity_id": 2, "token_idxs": [11]}, {"entity_id": 3, "token_idxs": [13]}, {"entity_id": 4, "token_idxs": [15]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "B-COLUMN", "O"]}
{"question_id": 1104, "db_id": "restaurant_1", "dber_id": "bird:train_spider.json:2833", "question": "Which major has between 2 and 30 number of students? List major and the number of students.", "SQL": "SELECT Major ,  count(*) FROM Student GROUP BY Major HAVING count(Major) BETWEEN 2 AND 30;", "tokens": ["Which", "major", "has", "between", "2", "and", "30", "number", "of", "students", "?", "List", "major", "and", "the", "number", "of", "students", "."], "entities": [{"id": 0, "type": "column", "value": "major"}, {"id": 1, "type": "value", "value": "2"}, {"id": 2, "type": "value", "value": "30"}, {"id": 3, "type": "table", "value": "students"}, {"id": 4, "type": "column", "value": "major"}, {"id": 5, "type": "table", "value": "students"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [1]}, {"entity_id": 1, "token_idxs": [4]}, {"entity_id": 2, "token_idxs": [6]}, {"entity_id": 3, "token_idxs": [9]}, {"entity_id": 4, "token_idxs": [12]}, {"entity_id": 5, "token_idxs": [17]}], "dber_tags": ["O", "B-COLUMN", "O", "O", "B-VALUE", "O", "B-VALUE", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 11438, "db_id": "party_host", "dber_id": "bird:train_spider.json:2666", "question": "Show the first year and last year of parties with theme \"Spring\" or \"Teqnology\".", "SQL": "SELECT First_year ,  Last_year FROM party WHERE Party_Theme  =  \"Spring\" OR Party_Theme  =  \"Teqnology\"", "tokens": ["Show", "the", "first", "year", "and", "last", "year", "of", "parties", "with", "theme", "\"", "Spring", "\"", "or", "\"", "Teqnology", "\"", "."], "entities": [{"id": 0, "type": "column", "value": "first year"}, {"id": 1, "type": "column", "value": "last year"}, {"id": 2, "type": "table", "value": "parties"}, {"id": 3, "type": "column", "value": "theme"}, {"id": 4, "type": "value", "value": "Spring"}, {"id": 5, "type": "value", "value": "Teqnology"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2, 3]}, {"entity_id": 1, "token_idxs": [5, 6]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [10]}, {"entity_id": 4, "token_idxs": [12]}, {"entity_id": 5, "token_idxs": [16]}], "dber_tags": ["O", "O", "B-COLUMN", "I-COLUMN", "O", "B-COLUMN", "I-COLUMN", "O", "B-TABLE", "O", "B-COLUMN", "O", "B-VALUE", "O", "O", "O", "B-VALUE", "O", "O"]}
{"question_id": 3752, "db_id": "gymnast", "dber_id": "bird:train_spider.json:1750", "question": "What is the age of the tallest person?", "SQL": "SELECT Age FROM people ORDER BY Height DESC LIMIT 1", "tokens": ["What", "is", "the", "age", "of", "the", "tallest", "person", "?"], "entities": [{"id": 0, "type": "column", "value": "age"}, {"id": 1, "type": "table", "value": "person"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [7]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 931, "db_id": "dorm_1", "dber_id": "bird:train_spider.json:5731", "question": "How many students are from each city, and which cities have more than one cities?", "SQL": "SELECT count(*) ,  city_code FROM student GROUP BY city_code HAVING count(*)  >  1", "tokens": ["How", "many", "students", "are", "from", "each", "city", ",", "and", "which", "cities", "have", "more", "than", "one", "cities", "?"], "entities": [{"id": 0, "type": "table", "value": "students"}, {"id": 1, "type": "column", "value": "city"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [2]}, {"entity_id": 1, "token_idxs": [6]}], "dber_tags": ["O", "O", "B-TABLE", "O", "O", "O", "B-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"]}
{"question_id": 10532, "db_id": "music_2", "dber_id": "bird:train_spider.json:5196", "question": "What is the last name of the musician that have produced the most number of songs?", "SQL": "SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate  =  T2.id JOIN Songs AS T3 ON T3.SongId  =  T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1", "tokens": ["What", "is", "the", "last", "name", "of", "the", "musician", "that", "have", "produced", "the", "most", "number", "of", "songs", "?"], "entities": [{"id": 0, "type": "column", "value": "last name"}, {"id": 1, "type": "table", "value": "songs"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3, 4]}, {"entity_id": 1, "token_idxs": [15]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-TABLE", "O"]}
{"question_id": 685, "db_id": "car_retails", "dber_id": "bird:train.json:1639", "question": "List all the name of customers who have orders that are still processing.", "SQL": "SELECT t2.customerName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.status = 'In Process'", "tokens": ["List", "all", "the", "name", "of", "customers", "who", "have", "orders", "that", "are", "still", "processing", "."], "entities": [{"id": 0, "type": "column", "value": "name"}, {"id": 1, "type": "table", "value": "customers"}, {"id": 2, "type": "table", "value": "orders"}, {"id": 3, "type": "value", "value": "processing"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [5]}, {"entity_id": 2, "token_idxs": [8]}, {"entity_id": 3, "token_idxs": [12]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "O", "B-TABLE", "O", "O", "B-TABLE", "O", "O", "O", "B-VALUE", "O"]}
{"question_id": 13261, "db_id": "authors", "dber_id": "bird:train.json:3536", "question": "What are the paper IDs of papers presented in conferences has a homepage starts with \"http://www.informatik.uni-trier.de/~ley/db/conf/\"?", "SQL": "SELECT T1.Id FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.HomePage LIKE 'http://www.informatik.uni-trier.de/~ley/db/conf/%'", "tokens": ["What", "are", "the", "paper", "IDs", "of", "papers", "presented", "in", "conferences", "has", "a", "homepage", "starts", "with", "\"", "http://www.informatik.uni-trier.de/~ley/db/conf/", "\"", "?"], "entities": [{"id": 0, "type": "table", "value": "paper"}, {"id": 1, "type": "column", "value": "IDs"}, {"id": 2, "type": "table", "value": "conferences"}, {"id": 3, "type": "column", "value": "homepage"}, {"id": 4, "type": "value", "value": "http://www.informatik.uni-trier.de/~ley/db/conf/"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [4]}, {"entity_id": 2, "token_idxs": [9]}, {"entity_id": 3, "token_idxs": [12]}, {"entity_id": 4, "token_idxs": [16]}], "dber_tags": ["O", "O", "O", "B-TABLE", "B-COLUMN", "O", "O", "O", "O", "B-TABLE", "O", "O", "B-COLUMN", "O", "O", "O", "B-VALUE", "O", "O"]}
{"question_id": 7517, "db_id": "student_loan", "dber_id": "bird:train.json:4498", "question": "Calculate the percentage of female students.", "SQL": "SELECT CAST(SUM(IIF(T2.name IS NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name) FROM person AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name", "tokens": ["Calculate", "the", "percentage", "of", "female", "students", "."], "entities": [{"id": 0, "type": "table", "value": "female"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [4]}], "dber_tags": ["O", "O", "O", "O", "B-TABLE", "O", "O"]}
{"question_id": 15388, "db_id": "mondial_geo", "dber_id": "bird:train.json:8472", "question": "What is the organization(s) that has 'National Society' as member type.", "SQL": "SELECT T1.Name FROM organization AS T1 INNER JOIN isMember AS T2 ON T2.Country = T1.Country INNER JOIN country AS T3 ON T2.Country = T3.Code WHERE T2.Type = 'National Society'", "tokens": ["What", "is", "the", "organization(s", ")", "that", "has", "'", "National", "Society", "'", "as", "member", "type", "."], "entities": [{"id": 0, "type": "table", "value": "organization(s"}, {"id": 1, "type": "value", "value": "National Society"}, {"id": 2, "type": "table", "value": "member"}, {"id": 3, "type": "column", "value": "type"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3]}, {"entity_id": 1, "token_idxs": [8, 9]}, {"entity_id": 2, "token_idxs": [12]}, {"entity_id": 3, "token_idxs": [13]}], "dber_tags": ["O", "O", "O", "B-TABLE", "O", "O", "O", "O", "B-VALUE", "I-VALUE", "O", "O", "B-TABLE", "B-COLUMN", "O"]}
{"question_id": 9697, "db_id": "movie_3", "dber_id": "bird:train.json:9413", "question": "What is the postal code of the address 692 Joliet Street?", "SQL": "SELECT postal_code FROM address WHERE address = '692 Joliet Street'", "tokens": ["What", "is", "the", "postal", "code", "of", "the", "address", "692", "Joliet", "Street", "?"], "entities": [{"id": 0, "type": "column", "value": "postal code"}, {"id": 1, "type": "table", "value": "address"}, {"id": 2, "type": "value", "value": "692 Joliet Street"}], "entity_to_token": [{"entity_id": 0, "token_idxs": [3, 4]}, {"entity_id": 1, "token_idxs": [7]}, {"entity_id": 2, "token_idxs": [8, 9, 10]}], "dber_tags": ["O", "O", "O", "B-COLUMN", "I-COLUMN", "O", "O", "B-TABLE", "B-VALUE", "I-VALUE", "I-VALUE", "O"]}