1sf/bird-sql-train-with-schema huggingface dataset:
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: List the review and label of the restaurants in Mission Blvd., Hayward.
Evidence: Mission Blvd. refers to street_name = 'mission blvd'; Hayward refers to city = 'hayward'
SQL: SELECT T2.review, T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.city = 'hayward' AND T1.street_name = 'mission blvd'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: Among all indian restaurants in Castro St., Mountainview, how many of them is about cookhouse in their label?
Evidence: indian restaurant refers to food_type = 'indian'; Castro St. refers to street_name = 'castro st'; Mountainview refers to city = 'mountainview'; have the word "Indian" in label refers to label = 'indian'
SQL: SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'castro st' AND T1.city = 'mountain view' AND T2.food_type = 'indian' AND T2.label LIKE '%cookhouse%'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: In restaurants with a review of 2, how many restaurants have a street number below 500?
Evidence: review of 2 refers to review = 2; street number below 500 refers to street_num < 500
SQL: SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.review = 2 AND T1.street_num < 500
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: Among all asian restaurants in N. Milpitas Blvd., Milpitas, how many of them have restaurant ID greater than 385?
Evidence: asian restaurant refers to food_type = 'asian'; N. Milpitas Blvd. refers to street_name = 'n milpitas blvd'; Milpitas refers to city = 'milpitas'; restaurant ID greater than 385 refers to id_restaurant > 385
SQL: SELECT COUNT(T1.id_restaurant) AS num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.city = 'milpitas' AND T2.food_type = 'asian' AND T1.street_name = 'n milpitas blvd' AND T1.id_restaurant > 385
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: What is the restaurant's name and ID located at Ocean Avenue, San Francisco?
Evidence: restaurant's name refers to label; Ocean Avenue refers to street_name = 'ocean avenue'; San Francisco refers to city = 'san francisco'
SQL: SELECT T2.label, T1.id_restaurant FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.street_name = 'ocean avenue'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: What is the full address of the restaurant named "Sanuki Restaurant"?
Evidence: full address refers to city, street_num, street_name; restaurant named "Sanuki Restaurant" refers to label = 'sanuki restaurant'
SQL: SELECT T2.city, T1.street_num, T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'sanuki restaurant'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: List the food type of the restaurant located in 22779 6th St., Hayward City.
Evidence: 22779 refers to street_num = 22779; 6th St. refers to street_name = '6th St'
SQL: SELECT T2.food_type FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_num = 22779 AND T1.street_name = '6th St' AND T2.city = 'hayward'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many American restaurants are located in Front, San Francisco?
Evidence: American restaurant refers to food_type = 'american'; Front refers to street_name = 'front'; San Francisco refers to city = 'san francisco'
SQL: SELECT COUNT(T2.food_type = 'american') FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.street_name = 'front'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: List the restaurant's ID that has a review greater than the 70% of average review of all American restaurants with street number greater than 2000.
Evidence: American restaurant refers to food_type = 'american'; street number greater than 2000 refers to street_num > 2000; review greater than the 70% of average review refers to review > multiply(avg(review), 0.7)
SQL: SELECT T1.id_restaurant FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.food_type = 'american' AND T1.street_num > 2000 GROUP BY T1.id_restaurant ORDER BY AVG(T2.review) * 0.7 DESC
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: Among the restaurants located on the street number ranges from 1000 to 2000, what is the percentage of Afghani restaurants are there?
Evidence: street number ranges from 1000 to 2000 refers to 1000 < = street_num < = 2000; Afghani restaurant refers to food_type = 'afghani'; percentage = divide(count(id_restaurant where food_type = 'afghani'), count(id_restaurant)) * 100%
SQL: SELECT CAST(SUM(IIF(T2.food_type = 'afghani', 1, 0)) AS REAL) * 100 / COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE 1000 <= T1.street_num <= 2000
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: What is the name of the most popular restaurant serving Asian foods in San Francisco?
Evidence: the most popular refers to max(review); Asian food refers to food_type = 'asian'; San Francisco refers to city = 'san francisco'
SQL: SELECT label FROM generalinfo WHERE food_type = 'asian' AND city = 'san francisco' AND review = ( SELECT MAX(review) FROM generalinfo WHERE food_type = 'asian' AND city = 'san francisco' )
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many cities are there in Monterey?
Evidence: Monterey refers to region = 'monterey'
SQL: SELECT COUNT(DISTINCT city) FROM geographic WHERE region = 'monterey'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many deli in Belmont have a review rating of 2 or more?
Evidence: deli ris a food type; Belmont refers to city = 'belmont'; review rating of 2 or more refers to review > 2
SQL: SELECT COUNT(id_restaurant) FROM generalinfo WHERE city = 'belmont' AND review > 2 AND food_type = 'deli'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: Which county in northern California has the highest number of cities?
Evidence: northern California refers to region = 'northern california'; the highest number of cities refers to max(count(city))
SQL: SELECT county FROM geographic WHERE region = 'northern california' GROUP BY county ORDER BY COUNT(city) DESC LIMIT 1
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many restaurants can you find in Concord?
Evidence: Concord refers to city = 'concord'
SQL: SELECT COUNT(id_restaurant) FROM location WHERE city = 'concord'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: In which region can you find the top 4 most popular restaurants?
Evidence: the top 4 most popular restaurant refers to top 4 max(review)
SQL: SELECT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city ORDER BY T1.review DESC LIMIT 4
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many Chinese restaurants are there on 1st st, Livermore?
Evidence: Chinese restaurant refers to food_type = 'chinese'; 1st st refers to street_name = '1st st'; Livermore refers to city = 'livermore'
SQL: SELECT COUNT(T1.id_restaurant) FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'livermore' AND T1.food_type = 'chinese' AND T2.street_name = '1st st'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many Indian restaurants are there in the Los Angeles area?
Evidence: Indian restaurant refers to food_type = 'indian'; the Los Angeles area refers to region = 'los angeles area'
SQL: SELECT COUNT(T1.city) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'indian' AND T1.region = 'los angeles area'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: In the Bay Area, what is the most common type of food served by restaurants?
Evidence: the Bay Area refers to region = 'bay area'; the most common type of food refers to max(count(food_type))
SQL: 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
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many restaurants in Broadway, Oakland received a review of no more than 3?
Evidence: Broadway refers to street_name = 'broadway';  Oakland refers to city = 'oakland'; a review of no more than 3 refers to review < 3
SQL: SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.street_name = 'broadway' AND T2.review < 3 AND T1.city = 'oakland'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: In which region can you find the highest number of Baskin Robbins restaurants?
Evidence: the highest number refers to max(count(city)); Baskin Robbins restaurant refers to label = 'baskin robbins'
SQL: SELECT T2.region AS num FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'baskin robbins' GROUP BY T2.region ORDER BY COUNT(T1.city) DESC LIMIT 1
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: List all the streets where pizza-serving restaurants are found in San Jose.
Evidence: street refers to street_name; pizza-serving restaurant refers to food_type = 'pizza'; San Jose refers to city = 'san jose'
SQL: SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'pizza' AND T1.city = 'san jose'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: How many types of restaurants are there in the Yosemite and Mono Lake area?
SQL: SELECT COUNT(T2.food_type) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'yosemite and mono lake area'
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: What is the full address of the most popular restaurant among the diners?
Evidence: full address refers to street_num, street_name, city; the most popular refers to max(review)
SQL: SELECT T2.street_name, T2.street_num, T2.city FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant ORDER BY T1.review DESC LIMIT 1
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: In which counties can you find the restaurant with the highest number of branches?
Evidence: restaurant refers to label; the highest number of branches refers to max(count(city))
SQL: SELECT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city GROUP BY T2.county ORDER BY COUNT(T1.label) DESC LIMIT 1
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: Which region has the highest number of restaurants?
Evidence: the highest number refers to max(count(id_restaurant))
SQL: SELECT T1.region FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city GROUP BY T1.region ORDER BY COUNT(T2.id_restaurant) DESC LIMIT 1
Database: restaurant
Tables: geographic, generalinfo, location
Columns (table index, column name): -1, *, 0, city, 0, county, 0, region, 1, id_restaurant, 1, label, 1, food_type, 1, city, 1, review, 2, id_restaurant, 2, street_num, 2, street_name, 2, city
Question: List the full address of all the American restaurants with a review of 4 or more?
Evidence: full address refers to street_num, street_name, city; American restaurant refers to food_type = 'american'; a review of 4 or more refers to review > 4
SQL: SELECT T1.street_num, T1.street_name, T1.city FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.review >= 4
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many players were born after the year 1985?
Evidence: born after the year 1985 refers to SUBSTR(DOB, 1, 4) > 1985
SQL: SELECT COUNT(Player_Id) FROM Player WHERE SUBSTR(DOB, 1, 4) > 1985
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: How many matches were there in May, 2008?
Evidence: in May 2008 refers to SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'
SQL: SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'
Database: soccer_2016
Tables: Batting_Style, Bowling_Style, City, Country, Extra_Type, Extra_Runs, Out_Type, Outcome, Player, Rolee, Season, Team, Toss_Decision, Umpire, Venue, Win_By, Match, Ball_by_Ball, Batsman_Scored, Player_Match, Wicket_Taken
Columns (table index, column name): -1, *, 0, Batting_Id, 0, Batting_hand, 1, Bowling_Id, 1, Bowling_skill, 2, City_Id, 2, City_Name, 2, Country_id, 3, Country_Id, 3, Country_Name, 4, Extra_Id, 4, Extra_Name, 5, Match_Id, 5, Over_Id, 5, Ball_Id, 5, Extra_Type_Id, 5, Extra_Runs, 5, Innings_No, 6, Out_Id, 6, Out_Name, 7, Outcome_Id, 7, Outcome_Type, 8, Player_Id, 8, Player_Name, 8, DOB, 8, Batting_hand, 8, Bowling_skill, 8, Country_Name, 9, Role_Id, 9, Role_Desc, 10, Season_Id, 10, Man_of_the_Series, 10, Orange_Cap, 10, Purple_Cap, 10, Season_Year, 11, Team_Id, 11, Team_Name, 12, Toss_Id, 12, Toss_Name, 13, Umpire_Id, 13, Umpire_Name, 13, Umpire_Country, 14, Venue_Id, 14, Venue_Name, 14, City_Id, 15, Win_Id, 15, Win_Type, 16, Match_Id, 16, Team_1, 16, Team_2, 16, Match_Date, 16, Season_Id, 16, Venue_Id, 16, Toss_Winner, 16, Toss_Decide, 16, Win_Type, 16, Win_Margin, 16, Outcome_type, 16, Match_Winner, 16, Man_of_the_Match, 17, Match_Id, 17, Over_Id, 17, Ball_Id, 17, Innings_No, 17, Team_Batting, 17, Team_Bowling, 17, Striker_Batting_Position, 17, Striker, 17, Non_Striker, 17, Bowler, 18, Match_Id, 18, Over_Id, 18, Ball_Id, 18, Runs_Scored, 18, Innings_No, 19, Match_Id, 19, Player_Id, 19, Role_Id, 19, Team_Id, 20, Match_Id, 20, Over_Id, 20, Ball_Id, 20, Player_Out, 20, Kind_Out, 20, Fielders, 20, Innings_No
Question: For how many times has player no.41 won the "man of the match" award?
Evidence: player no.41 won the "man of the match" refers to Man_of_the_Match = 41
SQL: SELECT COUNT(Match_Id) FROM `Match` WHERE Man_of_the_Match = 41