truongpdd/BIRD_for_augment_sql2question · Datasets at Hugging Face

q_id int64 0 9.43k	input_ids sequencelengths 450 49.1k	attention_mask sequencelengths 450 49.1k	labels sequencelengths 450 49.1k	input_text stringlengths 1.82k 193k	output_text stringlengths 51 837	input_prompt stringclasses 215 values
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-100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3100, 7615, 4233, 16, 27473, 8, 5871, 26339, 8, 353, 220, 1041, 611, 320, 19638, 24945, 1921, 2108, 851, 8, 4393, 8184, 7026, 350, 17, 39910, 3220, 4393, 8184, 5871, 350, 16, 31448, 13369, 8184, 56681, 3688, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 5401, 350, 16, 27473, 284, 364, 44, 23174, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }/ ### Question Calculate the percentage of businesses who located in Mesa. What is attribute value of these businesses. Clarification: percentage = divide(count(business where city = 'Mesa'), count(business)) 100%	[query_database(*{'query': 'SELECT CAST(COUNT(T1.city) AS REAL) 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 2626, 851, 4393, 19832, 27968, 7866, 2626, 851, 15888, 7866, 24945, 4374, 851, 8, 16477, 10592, 220, 16, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Which business ID has the most reviews? Clarification: the most reviews refer to MAX(user_id);	[query_database(**{'query': 'SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(user_id) DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 5549, 3931, 46419, 1217, 851, 8, 4393, 19832, 5401, 3477, 66216, 766, 28397, 284, 364, 57396, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users have uber review votes for funny from the fans? Clarification: users refer to user_id; review_votes_funny = 'uber';	[query_database(**{'query': 'SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users manage to get uber votes for all of the review category? Find out what are the user average star. Clarification: users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';	[query_database(**{'query': 'SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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12254, 5871, 26339, 8, 353, 220, 1041, 611, 320, 19638, 24945, 4374, 851, 8, 4393, 14969, 883, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the percentage of user not becoming an elite user? Clarification: DIVIDE(SUBTRACT(COUNT(user_id), COUNT(Elite.user_id)), COUNT(user_id)) as percentage;	[query_database(*{'query': 'SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) 100 / ( SELECT COUNT(user_id) FROM Users )'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 3100, 4157, 34733, 350, 16, 13930, 284, 364, 1904, 6, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 353, 220, 1041, 611, 24945, 4233, 16, 37858, 851, 8, 5871, 21800, 4393, 8184, 5871, 350, 16, 31448, 13369, 8184, 2083, 2530, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 5401, 350, 16, 27473, 284, 364, 44, 23174, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many business are opened for more than 8 hour in Mesa and what is the percentage of the active businesses? Clarification: business are opened for more than 8 hours refer to business_id where SUBTRACT(closing_time, opening_time) > 8; DIVIDE(COUNT(business_id where active = 'true' and city = 'Mesa' and SUBTRACT(closing_time, opening_time) > 8), COUNT(business_id where city = 'Mesa' and SUBTRACT(closing_time, opening_time) > 8)) as percentage;	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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21, 8971, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many business ids have opening hours from 8AM to 6PM? Clarification: opening hours from 8AM to 6PM refer to Business_Hours where opening_time = '8AM' and closing_time = '6PM';	[query_database(**{'query': 'SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 60186, 350, 16, 18898, 1292, 4393, 29312, 5871, 350, 16, 31448, 13369, 8184, 932, 5381, 5871, 350, 17, 6328, 350, 16, 18898, 851, 284, 350, 17, 18898, 851, 31448, 13369, 8184, 2083, 2530, 5871, 350, 18, 6328, 350, 17, 37858, 851, 284, 350, 18, 37858, 851, 31448, 13369, 21882, 5871, 350, 19, 6328, 350, 18, 27308, 851, 284, 350, 19, 27308, 851, 5401, 350, 19, 27308, 3659, 32377, 284, 364, 37165, 6, 3651, 350, 18, 5949, 287, 3084, 14729, 11712, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What are the categories of businesses that have opening time on Sunday? Clarification: categories of businesses refer to category_name; Sunday refers to day_of_week where day_id = 1;	[query_database(**{'query': 'SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.opening_time <> '''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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32377, 284, 364, 37165, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday. Clarification: Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';	[query_database(**{'query': 'SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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8, 4393, 29312, 5871, 350, 16, 31448, 13369, 8184, 932, 5381, 5871, 350, 17, 6328, 350, 16, 18898, 851, 284, 350, 17, 18898, 851, 31448, 13369, 8184, 5871, 350, 18, 6328, 350, 17, 37858, 851, 284, 350, 18, 37858, 851, 5401, 350, 18, 70228, 3259, 284, 364, 25162, 6, 3651, 350, 18, 1258, 1590, 871, 220, 17, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many category id have low review count and rating more than 2? Clarification: rating more than 2 refers to stars > 2;	[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.review_count = 'Low' AND T3.stars > 2'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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37858, 851, 11, 62787, 6774, 19638, 24945, 1921, 2108, 851, 8, 4393, 8184, 5401, 9958, 366, 220, 17, 883, 482, 320, 19638, 24945, 1921, 2108, 851, 8, 4393, 8184, 5401, 9958, 871, 220, 17, 12254, 5871, 26339, 8, 353, 220, 1041, 611, 320, 19638, 24945, 6019, 1590, 8, 4393, 8184, 883, 4393, 8184, 932, 5381, 5871, 350, 16, 31448, 13369, 29312, 5871, 350, 17, 6328, 350, 16, 18898, 851, 284, 350, 17, 18898, 851, 31448, 13369, 8184, 5871, 350, 18, 6328, 350, 16, 37858, 851, 284, 350, 18, 37858, 851, 5401, 350, 17, 18898, 1292, 284, 364, 27844, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many businesses have the category named food? List those businesses and find the percentage of businesses with less than 2 stars. Clarification: businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;	[query_database(*{'query': 'SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 3100, 4157, 34733, 4642, 284, 364, 1904, 6, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 611, 31835, 3100, 4157, 34733, 4642, 284, 364, 3934, 6, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 9063, 4393, 8184, 5401, 3477, 3259, 284, 364, 25162, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the active and inactive ratio of the business with the review count of low. Clarification: DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));	[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = 'Low''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List down the business ID and attribute value of the attribute name of "payment_types_visa". Clarification:	[query_database(**{'query': 'SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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5871, 350, 16, 31448, 13369, 19832, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 15888, 7866, 350, 16, 81270, 16477, 10592, 220, 16, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the user ID, business ID with review length of the business which received the most likes in tips. Clarification: business which received the most likes refers to business_id where MAX(likes);	[query_database(**{'query': 'SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 17, 3405, 851, 11, 350, 17, 70228, 5228, 4393, 14969, 5871, 350, 16, 31448, 13369, 19832, 5871, 350, 17, 6328, 350, 16, 3405, 851, 284, 350, 17, 3405, 851, 5401, 350, 16, 3405, 4271, 1290, 287, 57362, 14987, 284, 220, 1049, 19, 3651, 350, 16, 3405, 39694, 1284, 1590, 284, 220, 20, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Within the user who joined Yelp in 2004, explore the user ID with average star of 5 and it's review length on the business. Clarification: user who joined Yelp in 2004 refers to user_id where user_yelping_since_year = 2014; user_average_stars = 5;	[query_database(**{'query': 'SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 5'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 17, 79144, 5228, 4393, 14969, 5871, 350, 16, 31448, 13369, 26788, 5871, 350, 17, 6328, 350, 16, 3405, 851, 284, 350, 17, 3405, 851, 5401, 350, 16, 3405, 39694, 1284, 1590, 284, 220, 18, 27968, 7866, 350, 17, 79144, 5228, 15888, 7866, 24945, 4233, 17, 79144, 5228, 8, 16477, 10592, 220, 16, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question For users with average ratings of 3, what kind of tip length they mostly left? Clarification: average ratings of 3 refer to user_average_stars = 3; kind of tip length they mostly left refers to tip_length where MAX(COUNT(user_id));	[query_database(**{'query': 'SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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2530, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 31448, 13369, 21882, 5871, 350, 18, 6328, 350, 17, 27308, 851, 284, 350, 18, 27308, 851, 5401, 350, 16, 3551, 284, 364, 3624, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List down the closing day of businesses located at SC State. Clarification: closing day refers to SUBTRACT(days.day_id, business_Hours.day_id)	[query_database(**{'query': 'SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 18, 37858, 851, 4393, 35227, 5871, 350, 16, 31448, 13369, 8184, 56681, 3688, 5871, 350, 17, 6328, 350, 16, 39910, 851, 284, 350, 17, 39910, 851, 31448, 13369, 8184, 5871, 350, 18, 6328, 350, 17, 37858, 851, 284, 350, 18, 37858, 851, 5401, 350, 16, 39910, 1292, 284, 364, 59128, 27395, 6, 3651, 350, 17, 39910, 3220, 284, 364, 1904, 6, 3651, 350, 18, 3551, 284, 364, 3624, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among businesses with "Wi-Fi" attribute, which businesses id are located at SC State? Clarification: "Wi-Fi" attribute refers to attribute_name = 'Wi-Fi' AND attribute_value = 'true'	[query_database(**{'query': 'SELECT T3.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question In how many businesses have customers had a bad or terrible experience? Clarification: stars = 2 means bad experience; stars = 1 means terrible experience; customers had a bad or terrible experience refers to stars = 2 OR stars = 1	[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 2)'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 4233, 16, 37858, 851, 8, 4393, 8184, 5871, 350, 16, 31448, 13369, 19832, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 5401, 350, 17, 70228, 66216, 766, 28397, 284, 364, 57396, 6, 3651, 350, 16, 13930, 284, 364, 1904, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many reviews of businesses that are still open received an uber rating on the funny vote? Clarification: businesses that still open refers to active = 'true'; business received an uber rating on the funny vote refers to review_votes_funny = 'Uber'	[query_database(**{'query': 'SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny = 'Uber' AND T1.active = 'true''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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851, 5401, 350, 18, 27473, 284, 364, 37909, 53931, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question In which categories does the only business located in the city of Arcadia appear? Clarification: categories refers to category_name	[query_database(**{'query': 'SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city = 'Arcadia''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 5549, 3931, 46419, 350, 16, 3405, 851, 8, 4393, 14969, 5871, 350, 16, 31448, 13369, 19832, 5871, 350, 17, 6328, 350, 16, 3405, 851, 284, 350, 17, 3405, 851, 5401, 350, 16, 3405, 66216, 669, 1786, 284, 364, 25162, 6, 3651, 350, 17, 70228, 66216, 669, 1786, 284, 364, 25162, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users who have received a low cool vote have also received at least 1 low cool vote for some of their reviews? Clarification: low cool vote for user refers to user_votes_cool = 'Low'; low cool vote for review refers to review_votes_cool = 'Low'	[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_votes_cool = 'Low' AND T2.review_votes_cool = 'Low''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 4233, 16, 1258, 1590, 8, 5871, 26339, 8, 611, 24945, 4233, 16, 37858, 851, 8, 4393, 8184, 5871, 350, 16, 31448, 13369, 8184, 932, 5381, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 31448, 13369, 29312, 5871, 350, 18, 6328, 350, 17, 18898, 851, 284, 350, 18, 18898, 851, 5401, 350, 18, 18898, 1292, 284, 364, 4213, 267, 16743, 5493, 612, 480, 75030, 22012, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the average number of stars for businesses in the Obstetricians & Gynecologists category? Clarification: Obstetricians & Gynecologists category refers to category_name = 'Obstetricians & Gynecologists'; calculation = AVG(stars)	[query_database(**{'query': 'SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Obstetricians & Gynecologists''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the total number of active businesses in AZ with a medium review count? Clarification: active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'	[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 60186, 350, 18, 39910, 1292, 4393, 8184, 5871, 350, 16, 31448, 13369, 8184, 56681, 3688, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 31448, 13369, 35227, 5871, 350, 18, 6328, 350, 17, 39910, 851, 284, 350, 18, 39910, 851, 5401, 350, 16, 27473, 284, 364, 22759, 375, 6, 3651, 350, 16, 70228, 3259, 284, 364, 42094, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses in Tempe, list the attribute of the business with a medium review count. Clarification: Tempe is a city; high review count refers to review_count = 'High'	[query_database(**{'query': 'SELECT DISTINCT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Tempe' AND T1.review_count = 'Medium''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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350, 18, 6328, 350, 17, 18898, 851, 284, 350, 18, 18898, 851, 5401, 350, 17, 37858, 851, 2669, 220, 22, 3651, 350, 17, 37858, 851, 366, 220, 868, 3651, 350, 16, 70228, 5228, 284, 364, 12755, 6, 3651, 350, 16, 70228, 1284, 1590, 284, 320, 19638, 8498, 84412, 1284, 1590, 8, 4393, 19832, 883, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the category of the business with short review length and highest review stars within business ID from 7 to 14? Clarification: category of the business refers to category_name; short review length refers to review_length = 'Short'; the highest star rating refers to MAX(stars); business ID from 7 to 14 refers to business_id BETWEEN 7 AND 14	[query_database(**{'query': 'SELECT DISTINCT T3.category_name FROM Reviews AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = 'Short' AND T1.review_stars = ( SELECT MAX(review_stars) FROM Reviews )'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 60186, 350, 18, 18898, 1292, 4393, 8184, 932, 5381, 5871, 350, 16, 31448, 13369, 8184, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 31448, 13369, 29312, 5871, 350, 18, 6328, 350, 16, 18898, 851, 284, 350, 18, 18898, 851, 5401, 350, 17, 13930, 284, 364, 1904, 6, 3651, 350, 17, 3551, 284, 364, 24476, 6, 3651, 350, 17, 27473, 284, 364, 32641, 70160, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the categories of active businesses in Glendale, AZ. Clarification: active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state	[query_database(**{'query': 'SELECT DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 3100, 4157, 34733, 350, 16, 1258, 1590, 871, 220, 18, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 353, 220, 1041, 611, 24945, 4233, 16, 1258, 1590, 8, 4393, 8184, 5871, 350, 16, 31448, 13369, 8184, 932, 5381, 5871, 350, 17, 6328, 350, 16, 37858, 851, 284, 350, 17, 37858, 851, 31448, 13369, 29312, 5871, 350, 18, 6328, 350, 17, 18898, 851, 284, 350, 18, 18898, 851, 5401, 350, 18, 18898, 1292, 284, 364, 27844, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses with a category of Food, what is the percentage of the business with greater than 3 stars? Clarification: category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(T1.stars) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) / 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id \|\|attribute_name 1 \|\| Alcohol / / column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) / 1 example row: SELECT * FROM categories LIMIT 1; category_id \|\|category_name 1 \|\| Active Life / / column definitions { "category_id": "", "category_name": "" }/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) / 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id \|\|compliment_type 1 \|\| photos / / column definitions { "compliment_id": "", "compliment_type": "" }/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) / 1 example row: SELECT * FROM days LIMIT 1; day_id \|\|day_of_week 1 \|\| Sunday / / column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) / 1 example row: SELECT * FROM years LIMIT 1; year_id \|\|actual_year 2005 \|\| 2005 / / column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) / 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id \|\|business_id \|\|attribute_value 1 \|\| 2 \|\| none / / column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) / 1 example row: SELECT * FROM business_categories LIMIT 1; business_id \|\|category_id 1 \|\| 8 / / column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM business_hours LIMIT 1; business_id \|\|day_id \|\|opening_time \|\|closing_time 2 \|\| 2 \|\| 11AM \|\| 8PM / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) / 1 example row: SELECT * FROM checkins LIMIT 1; business_id \|\|day_id \|\|label_time_0 \|\|label_time_1 \|\|label_time_2 \|\|label_time_3 \|\|label_time_4 \|\|label_time_5 \|\|label_time_6 \|\|label_time_7 \|\|label_time_8 \|\|label_time_9 \|\|label_time_10 \|\|label_time_11 \|\|label_time_12 \|\|label_time_13 \|\|label_time_14 \|\|label_time_15 \|\|label_time_16 \|\|label_time_17 \|\|label_time_18 \|\|label_time_19 \|\|label_time_20 \|\|label_time_21 \|\|label_time_22 \|\|label_time_23 1 \|\| 1 \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| Low \|\| None \|\| None \|\| None \|\| None \|\| None \|\| None / / column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) / 1 example row: SELECT * FROM elite LIMIT 1; user_id \|\|year_id 3 \|\| 2010 / / column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM reviews LIMIT 1; business_id \|\|user_id \|\|review_stars \|\|review_votes_funny \|\|review_votes_useful \|\|review_votes_cool \|\|review_length 1 \|\| 36129 \|\| 2 \|\| None \|\| None \|\| None \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) / 1 example row: SELECT * FROM tips LIMIT 1; business_id \|\|user_id \|\|likes \|\|tip_length 2 \|\| 12490 \|\| 0 \|\| Medium / / column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) / 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id \|\|user_id \|\|number_of_compliments 1 \|\| 3 \|\| Medium / / column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) / 1 example row: SELECT * FROM business LIMIT 1; business_id \|\|active \|\| city \|\|state \|\|stars \|\|review_count 1 \|\| true \|\|Phoenix \|\| AZ \|\| 3.0 \|\| Low / / column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) / 1 example row: SELECT * FROM users LIMIT 1; user_id \|\|user_yelping_since_year \|\|user_average_stars \|\|user_votes_funny \|\|user_votes_useful \|\|user_votes_cool \|\|user_review_count \|\|user_fans 1 \|\| 2012 \|\| 4.0 \|\| Low \|\| Low \|\| Low \|\| Medium \|\| Low / / column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/
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78438, 851, 284, 350, 17, 78438, 851, 5401, 350, 16, 3150, 6234, 284, 364, 3590, 6, 27968, 7866, 350, 17, 23397, 669, 1639, 851, 15888, 7866, 24945, 4233, 17, 23397, 669, 1639, 851, 8, 16477, 10592, 220, 16, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Among all the DB class type citation, which word is the most frequently cited? Clarification: class type refers to class_label; class_label = 'DB'; word that is most frequently cited refers to max(count(word_cited_id);	[query_database(**{'query': 'SELECT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T2.word_cited_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 60186, 350, 17, 23397, 669, 1639, 851, 4393, 5684, 5871, 350, 16, 31448, 13369, 2262, 5871, 350, 17, 6328, 350, 16, 78438, 851, 284, 350, 17, 78438, 851, 5401, 350, 16, 3150, 6234, 284, 364, 15836, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question List all words cited in the AI class label. Clarification:	[query_database(**{'query': 'SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/
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4393, 58273, 27968, 7866, 22628, 90017, 851, 15888, 7866, 24945, 1361, 1639, 90017, 851, 8, 20382, 10592, 220, 16, 7026, 320, 19638, 24945, 1361, 1639, 90017, 851, 8, 4393, 58273, 27968, 7866, 22628, 90017, 851, 15888, 7866, 24945, 1361, 1639, 90017, 851, 8, 20382, 10592, 220, 16, 883, 4393, 58273, 27968, 7866, 22628, 90017, 851, 15888, 7866, 24945, 1361, 1639, 90017, 851, 8, 16477, 10592, 220, 16, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Name the paper which is cited most times and the paper which is cited least times? Also, find the number of times each one is cited. Clarification:	[query_database(**{'query': 'SELECT cited_paper_id, COUNT(cited_paper_id), ( SELECT cited_paper_id FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ), ( SELECT COUNT(cited_paper_id) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 60186, 350, 16, 3150, 6234, 4393, 5684, 5871, 350, 16, 31448, 13369, 2262, 5871, 350, 17, 6328, 350, 16, 78438, 851, 284, 350, 17, 78438, 851, 5401, 350, 17, 23397, 669, 1639, 851, 284, 364, 1178, 8027, 18, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Under what classification do the papers that cited word1163 belong? Clarification:	[query_database(**{'query': 'SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) / 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id \|\|citing_paper_id 100157 \|\| 100157 / / column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) / 1 example row: SELECT * FROM paper LIMIT 1; paper_id \|\|class_label 100157 \|\| Agents / / column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) / 1 example row: SELECT * FROM content LIMIT 1; paper_id \|\|word_cited_id 100157 \|\| word1163 / / column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 30499, 4393, 7508, 5401, 836, 284, 364, 39125, 11514, 85886, 1955, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the nickname for Dan Castellaneta? Clarification: "Dan Castellaneta" is the name of Person	[query_database(**{'query': 'SELECT nickname FROM Person WHERE name = 'Dan Castellaneta';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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350, 17, 31970, 5401, 350, 16, 85082, 29206, 284, 364, 25342, 6, 3651, 350, 17, 12342, 284, 364, 37412, 85899, 6, 3651, 350, 17, 6064, 569, 284, 364, 2729, 10276, 47988, 6826, 320, 2520, 39524, 9865, 34776, 3861, 31933, 22367, 3651, 350, 17, 25418, 284, 220, 1049, 24, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many crew members who were born in the USA were nominated for the Outstanding Animated Program (For Programming Less Than One Hour) award in 2009? Clarification: born in USA refers to birth_country = 'USA'; were nominated refers to result = 'Nominee'; 'Outstanding Animated Program (For Programming Less Than One Hour)' is the award; in 2009 refers to year = 2009	[query_database(*{'query': 'SELECT COUNT() FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Nominee' AND T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.year = 2009;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 17, 49759, 4393, 17768, 5871, 350, 16, 31448, 13369, 20421, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 6064, 569, 284, 364, 2729, 10276, 29030, 12, 1959, 21304, 6, 3651, 16532, 6805, 4233, 16, 25418, 11, 220, 16, 11, 220, 19, 8, 284, 364, 1049, 24, 6, 3651, 350, 16, 31970, 284, 364, 39125, 11514, 85886, 1955, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the rating of the episode in which Dan Castellaneta won the Outstanding Voice-Over Performance award in 2009? Clarification: "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner'	[query_database(**{'query': 'SELECT T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Dan Castellaneta';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 6195, 4393, 20421, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 17, 34476, 6686, 851, 284, 350, 16, 34476, 6686, 851, 5401, 350, 17, 1258, 1590, 284, 220, 22, 15888, 7866, 350, 17, 3211, 6429, 16477, 10592, 220, 16, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the title of the episode that got the most 7-star votes in star score? Clarification: 7-stars vote refers to stars = 7; most refers to Max(votes)	[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 7 ORDER BY T2.votes DESC LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 6195, 4393, 20421, 5871, 350, 16, 31448, 13369, 16666, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 17, 31970, 284, 364, 47, 309, 8458, 77285, 6, 3651, 350, 17, 27097, 284, 364, 49, 952, 648, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Name the title of the episode where Pamela Hayden voiced the character 'Ruthie.' Clarification: "Pamela Hayden" is the person; voice the character 'Ruthie' refers to role = 'Ruthie'	[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 6195, 11, 350, 17, 75011, 4393, 20421, 5871, 350, 16, 31448, 13369, 50070, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 61602, 4257, 284, 364, 1049, 24, 12, 2839, 12, 1313, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Write the title and all the keywords of the episode that was aired on 3/22/2009. Clarification: aired on 3/22/2009 refers to air_date = '2009-03-22'	[query_database(**{'query': 'SELECT T1.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many persons were born in New York, USA? Clarification: "New York" is the birth_place; 'USA' is the birth_region	[query_database(**{'query': 'SELECT COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Calculate the difference between the highest votes for episode and the lowest votes for episode. Clarification: highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes))	[query_database(**{'query': 'SELECT MAX(votes) - MIN(votes) FROM Vote;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 17, 31970, 4393, 20421, 5871, 350, 16, 31448, 13369, 16666, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 6195, 284, 364, 4438, 279, 3475, 15148, 43549, 6, 3651, 350, 17, 522, 1171, 1639, 284, 364, 3934, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question List the name of persons who were not included in the credit for the 'How the Test Was Won' episode. Clarification: "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person	[query_database(**{'query': 'SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.credited = 'false';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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20421, 5871, 350, 16, 31448, 13369, 16666, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 34476, 6686, 284, 220, 20, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Based on the credits, state how many roles were played in the 5th episode of simpson 20. Clarification: 5th episode refers to episode = 5	[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 5;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 7, 69706, 851, 8, 4393, 17768, 5401, 1732, 284, 364, 80268, 7639, 59029, 12279, 17012, 6, 3651, 7471, 284, 364, 54, 32929, 33592, 315, 5270, 11, 7427, 6, 3651, 1121, 284, 364, 37412, 85899, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many times was Ian Maxtone-Graham nominated for an award in Writers Guild of America, USA? Clarification: "Ian Maxtone-Graham" is the person; nominated refers to result = 'Nominee'; 'Writers Guild of America, USA' is the organization	[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE person = 'Ian Maxtone-Graham' AND organization = 'Writers Guild of America, USA' AND result = 'Nominee';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 1060, 4393, 17768, 5401, 1121, 284, 364, 52055, 6, 3651, 10292, 284, 364, 39939, 47988, 44851, 6, 15888, 7866, 1060, 16477, 10592, 220, 16, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What year did the Simpsons receive its first ever award for Favorite Animated Comedy in People's Choice Award? Clarification: "Favorite Animated Comedy" is the award; 'People's Choice Award' is the award_category; received award refers to result = 'Winner'; first ever award refers to Min(year)	[query_database(**{'query': 'SELECT year FROM Award WHERE result = 'Winner' AND award = 'Favorite Animated Comedy' ORDER BY year DESC LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the birth place of the cast or crew member who won the Best Voice-Over Performance in Online Film & Television Association in 2009? Clarification: won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009	[query_database(**{'query': 'SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 29771, 4393, 7508, 5871, 350, 16, 31448, 13369, 16666, 5871, 350, 17, 6328, 350, 16, 2710, 284, 350, 17, 31970, 5401, 350, 16, 68621, 284, 364, 5519, 1073, 355, 6, 3651, 350, 17, 522, 1171, 1639, 284, 364, 1904, 6, 3651, 350, 17, 34476, 6686, 851, 284, 364, 50, 508, 13737, 806, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In Season 20 Episode 11, how many times was Doofus included in the credit list? Clarification: in Season 20 Episode 11 refers to episode_id = 'S20-E11'; 'Doofus' is the nickname of person; include in credit list refers to credited = 'true'	[query_database(*{'query': 'SELECT COUNT() FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.credited = 'true' AND T2.episode_id = 'S20-E11';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 836, 11, 7342, 1045, 4393, 7508, 5401, 7342, 35648, 284, 364, 30696, 12167, 6, 3651, 2673, 722, 2481, 2669, 220, 16, 13, 23, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the casts who were born in Los Angeles, describe the name and birth date of who have 1.8 m and above in height. Clarification: "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8	[query_database(**{'query': 'SELECT name, birthdate FROM Person WHERE birth_place = 'Los Angeles' AND height_meters >= 1.8;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Name the person, award, organization, result and credited status of the assistant director in S20-E13. Clarification: "assistant director" is the role of person; 'S20-E13' is the episode_id; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa	[query_database(**{'query': 'SELECT T1.person, T1.award, T1.organization, T1.result, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.episode_id = 'S20-E13' AND T2.role = 'assistant director';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 6064, 569, 11, 350, 17, 61602, 4257, 11, 350, 17, 49759, 4393, 17768, 5871, 350, 16, 31448, 13369, 20421, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 70324, 284, 364, 41, 20089, 17768, 6, 3651, 350, 16, 12342, 284, 364, 52055, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question For the episode who won the award held by Jupiter Award, describe award name, aired date and rating of that episode. Clarification: held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner'	[query_database(**{'query': 'SELECT T1.award, T2.air_date, T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Jupiter Award' AND T1.result = 'Winner';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Describe name, birth country, role in episode and age in 2022 of the oldest crew member.. Clarification: age in 2022 refers to SUBTRACT(2022, substr(birthdate, 0, 5)); oldest refers to MIN(birthdate)	[query_database(**{'query': 'SELECT T1.name, T1.birth_place, T2.role, 2022 - CAST(SUBSTR(T1.birthdate, 1, 4) AS int) AS age FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birthdate IS NOT NULL ORDER BY T1.birthdate LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the total number of awards won by The simpson 20s: Season 20? Clarification: total number of awards refers to COUNT(award); awards won refers to result = 'Winner';	[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE result = 'Winner';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the birth name of Al Jean and his role in creating The simpson 20s: Season 20? Clarification:	[query_database(**{'query': 'SELECT DISTINCT T1.birth_name, T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.name = 'Al Jean';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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34733, 1121, 284, 364, 52055, 6, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 353, 220, 1041, 611, 24945, 7, 69706, 8, 5871, 4478, 4393, 17768, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is The simpson 20s: Season 20 average awards winning rate? Clarification: average awards winning rate refers to DIVIDE(SUM(result = 'winner'), COUNT(award));	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN result = 'Winner' THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(award) AS rate FROM Award;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 836, 4393, 7508, 5401, 7342, 1045, 284, 364, 6280, 22, 12, 605, 12, 1682, 6, 3651, 7342, 35648, 284, 364, 47275, 6, 3651, 7342, 21276, 284, 364, 52815, 17083, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Who from The simpson 20s: Season 20 cast and crew was born in October 29, 1957 in Chicago, Illinois? Clarification: born in October 29, 1957 refers to birthdate = '1957-10-29'; in Chicago refers to birth_place = 'Chicago'; Illinois refers to birth_region = 'Illinois'	[query_database(**{'query': 'SELECT name FROM Person WHERE birthdate = '1957-10-29' AND birth_place = 'Chicago' AND birth_region = 'Illinois';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 7342, 35648, 4393, 7508, 5401, 836, 284, 364, 39125, 11514, 85886, 1955, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Please indicate the birthplace of the crew which name is Dan Castellaneta. Clarification:	[query_database(**{'query': 'SELECT birth_place FROM Person WHERE name = 'Dan Castellaneta';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 9417, 851, 4393, 35134, 5401, 9958, 284, 220, 20, 3651, 12973, 871, 220, 1041, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode ids are rated 5 stars and have more than 100 votes? Clarification: more than 100 votes refers to votes > 100	[query_database(**{'query': 'SELECT episode_id FROM Vote WHERE stars = 5 AND votes > 100;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 31970, 4393, 17768, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 17, 34476, 6686, 851, 284, 350, 16, 34476, 6686, 851, 5401, 350, 16, 6064, 569, 12110, 284, 364, 67291, 4199, 67112, 6, 15888, 7866, 350, 17, 3211, 6429, 16477, 10592, 220, 16, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Who is the recipient of the Primetime Emmy Award with the most votes? Clarification: Primetime Emmy Award refers to award_category = 'Primetime Emmy'; the most votes refers to MAX(votes)	[query_database(**{'query': 'SELECT T1.person FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy' ORDER BY T2.votes DESC LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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5401, 350, 16, 27097, 284, 364, 75994, 6, 3651, 350, 16, 6064, 569, 284, 364, 2729, 10276, 10948, 68206, 369, 264, 11378, 320, 18902, 80210, 780, 18607, 22367, 3651, 350, 17, 3211, 6429, 871, 220, 1049, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode did the composer win for Outstanding Music Composition for a Series (Original Dramatic Score) with more than 200 votes? Clarification: more than 200 votes refer to votes > 200; composer refers to role = 'composer'; Outstanding Music Composition for a Series (Original Dramatic Score) refers to award = 'Outstanding Music Composition for a Series (Original Dramatic Score)'	[query_database(**{'query': 'SELECT DISTINCT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.role = 'composer' AND T1.award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' AND T2.votes > 200;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }/ ### Question How many episodes have won the award for Outstanding Animated Program (Programming Under One Hour) with less than 100 votes? Calculate the percentage of episodes with less than 100 votes out of total episodes. Clarification: less than 100 votes refers to votes < 100; percentage refers to DIVIDE(COUNT(episode_id when votes < 100), COUNT(episode_id)) 100%	[query_database(*{'query': 'SELECT SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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1045, 11, 220, 16, 11, 220, 19, 8, 284, 364, 5162, 17, 6, 3651, 7342, 21276, 284, 364, 46510, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In the crew, who was born in 1962 in California? Clarification: born in 1962 refers to year(birthdate) = 1962; in California refers to birth_region = 'California'	[query_database(**{'query': 'SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1962' AND birth_region = 'California';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 9417, 851, 4393, 20421, 15888, 7866, 12973, 16477, 10592, 220, 20, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the top five most popular episodes? Clarification: most popular episodes refers to MAX(votes)	[query_database(**{'query': 'SELECT episode_id FROM Episode ORDER BY votes DESC LIMIT 5;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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13369, 50070, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 6195, 284, 364, 18293, 3092, 9601, 11, 5321, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the keywords of the episode "Take My Life, Please"? Clarification: episode "Take My Life, Please" refers to title = 'Take My Life, Please'	[query_database(**{'query': 'SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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1663, 1232, 364, 4963, 350, 17, 3211, 6429, 4393, 50070, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 17, 1258, 1590, 284, 220, 605, 3651, 350, 16, 75011, 284, 364, 16690, 311, 279, 14964, 3116, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the number of votes for 10-star for the episode that has the keyword "reference to the fantastic four"? Clarification: 10-star refers to stars = 10	[query_database(**{'query': 'SELECT T2.votes FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 AND T1.keyword = 'reference to the fantastic four';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 9417, 4393, 20421, 5401, 12973, 284, 320, 19638, 8498, 3832, 6429, 8, 4393, 20421, 7048, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode has the largest number of votes? Clarification: largest number of votes refers to MAX(votes)	[query_database(**{'query': 'SELECT episode FROM Episode WHERE votes = ( SELECT MAX(votes) FROM Episode );'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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34476, 6686, 851, 5401, 350, 17, 1258, 1590, 284, 220, 16, 15888, 7866, 350, 16, 49759, 10592, 220, 16, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many 1 star ratings are there in the worst rated episode of the season? Clarification: worst rated episode refers to MIN(rating)	[query_database(*{'query': 'SELECT COUNT() FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 1 ORDER BY T1.rating LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 34476, 6686, 851, 4393, 17768, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 17, 34476, 6686, 851, 284, 350, 16, 34476, 6686, 851, 5401, 350, 17, 1258, 1590, 284, 220, 20, 15888, 7866, 350, 17, 63377, 16477, 10592, 220, 16, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the episodes with an award nominee or winner, which has the highest percent of 5 star votes? Clarification: highest percent of 5 star votes refers to max(percent) where star = 5	[query_database(**{'query': 'SELECT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 5 ORDER BY T2.percent DESC LIMIT 1;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 16, 6064, 569, 4393, 17768, 5871, 350, 16, 31448, 13369, 20421, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 16, 12342, 284, 364, 52055, 6, 3651, 350, 17, 61602, 4257, 284, 364, 1049, 23, 12, 806, 12, 966, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What award did the episode that aired on 11/30/2008 win? Clarification: aired on 11/30/2008 refers to air_date = '11/30/2008'; win refers to result = 'Winner'	[query_database(**{'query': 'SELECT T1.award FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Winner' AND T2.air_date = '2008-11-30';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 3100, 4157, 34733, 350, 16, 12342, 284, 364, 37412, 85899, 6, 25086, 350, 17, 3211, 6429, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 353, 220, 1041, 611, 31835, 4233, 17, 3211, 6429, 8, 4393, 17768, 5871, 350, 16, 31448, 13369, 20421, 5871, 350, 17, 6328, 350, 16, 34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What percentage of votes are from the nominated episodes? Clarification: nominated episodes refers to result = 'Nominee'; percentage of votes = DIVIDE(SUM(result = 'Nominee), SUM(Votes)) as percentage	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN T1.result = 'Nominee' THEN T2.votes ELSE 0 END) AS REAL) 100 / SUM(T2.votes) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }/ ### Question Calculate the percentage of people who were born after 1970 and from California. Clarification: born after 1970 refers to birthdate > 1970; from California refers to birth_region = 'California'; percentage = divide(count(birthdate > 1970 and birth_region = 'California'), total(birthdate)) 100%	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN birth_region = 'California' AND SUBSTR(birthdate, 1, 4) > '1970' THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(birthdate) FROM Person;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 12973, 4393, 20421, 5401, 10959, 871, 220, 22, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question State the number of votes for episode with rating of 7 and above. Clarification: rating of 7 and above refers to rating > 7.0	[query_database(**{'query': 'SELECT votes FROM Episode WHERE rating > 7;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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34476, 6686, 851, 284, 350, 17, 34476, 6686, 851, 5401, 350, 17, 522, 1171, 1639, 284, 364, 3934, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Write down the summary of episode whereby it has crew members that are not included in the credit list. Clarification: are not included in the credit list refers to credited = ''	[query_database(**{'query': 'SELECT T1.summary FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'false';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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67112, 6, 3651, 350, 16, 25418, 57739, 220, 1049, 24, 3651, 220, 679, 15, 3651, 350, 16, 12342, 976, 364, 52055, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the characters that were nominated for Primetime Emmy Award from 2009 to 2010 but did not win? Clarification: nominated for Primetime Emmy Award but did not win refers to award_category = 'Primetime Emmy' and result = 'Nominee'; from 2009 to 2010 refers to year > = '2009' and year < = '2010'	[query_database(**{'query': 'SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award_category = 'Primetime Emmy' AND T1.year BETWEEN 2009 AND 2010 AND T1.result != 'Winner';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 62787, 3844, 2864, 3100, 4157, 34733, 350, 17, 1258, 1590, 284, 220, 20, 25086, 220, 16, 54026, 220, 15, 11424, 8, 5871, 26339, 8, 353, 220, 1041, 611, 24945, 29771, 4393, 20421, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 17, 34476, 6686, 851, 284, 350, 16, 34476, 6686, 851, 5401, 350, 16, 6195, 284, 364, 20004, 11, 393, 552, 323, 5336, 11345, 80185, 288, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the percentage of star score 5 that was collected by title "Sex, Pies and Idiot Scrapes"? Clarification: percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN T2.stars = 5 THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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10276, 47988, 6826, 320, 2520, 39524, 9865, 34776, 3861, 31933, 22367, 3651, 350, 17, 27097, 284, 364, 1030, 71821, 6844, 17276, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question State the birth place of co-executive producer for nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award. Clarification: co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee'	[query_database(**{'query': 'SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.role = 'co-executive producer';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 24945, 5549, 3931, 46419, 9417, 851, 8, 4393, 35134, 5401, 9958, 871, 220, 23, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many episodes have the star score greater than 8? Clarification: star score greater than 8 refers to stars > 8	[query_database(**{'query': 'SELECT COUNT(DISTINCT episode_id) FROM Vote WHERE stars > 8;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many awards had been held in 2009? Clarification: had been held in 2009 refers to year = 2009	[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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364, 52055, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }/ ### Question Calculate the percentage of the winners who are higher than 1.75 meters. Clarification: winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) 100%	[query_database(*{'query': 'SELECT CAST(SUM(CASE WHEN T1.height_meters > 1.75 THEN 1 ELSE 0 END) AS REAL) 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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350, 16, 31448, 13369, 16007, 1596, 1637, 5871, 350, 17, 6328, 350, 16, 6064, 569, 851, 284, 350, 17, 6064, 569, 851, 5401, 350, 16, 25418, 284, 220, 1049, 24, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question List out the names of the awarded character in the awards held in 2009. Clarification: in 2009 refers to year = 2009; name of awarded character refers to character	[query_database(**{'query': 'SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the keywords of the episode which has title as Dangerous Curves? Clarification:	[query_database(**{'query': 'SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Dangerous Curves';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many awards did simpson 20 won in 2009? Clarification: won refers to result = 'Winner'; in 2009 refers to year = 2009	[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009' AND result = 'Winner';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the episode ID that received 2 stars and 9 votes? Clarification: 2 stars refers to stars = 2; 9 votes refers to votes = 9	[query_database(**{'query': 'SELECT episode_id FROM Vote WHERE stars = 2 AND votes = 9;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 350, 17, 63377, 4393, 20421, 5871, 350, 16, 31448, 13369, 35134, 5871, 350, 17, 6328, 350, 17, 34476, 6686, 851, 284, 350, 16, 34476, 6686, 851, 5401, 16532, 6805, 4233, 16, 61602, 4257, 11, 220, 16, 11, 220, 19, 8, 284, 364, 1049, 23, 6, 3651, 350, 16, 3211, 6429, 57739, 220, 15862, 3651, 220, 16415, 37094, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the episodes aired in 2008 with votes ranges from 920 to 950, list their percent. Clarification: aired in 2008 refers to air_date LIKE '2008%'; votes ranges from 920 to 950 refers to votes BETWEEN 920 AND 950	[query_database(**{'query': 'SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' AND T1.votes BETWEEN 950 AND 960;'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the people in Animation Department, who are credited for additional time in the episode titled by "How the Test Was Won"? Clarification: Animation Department refers to category = 'Animation Department'; credited refers to credited = 'true'; for additional timer refers to role = 'additional timer'	[query_database(**{'query': 'SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.role = 'additional timer' AND T2.credited = 'true' AND T2.category = 'Animation Department';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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24, 6, 3651, 350, 17, 27097, 284, 364, 36599, 9198, 7112, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In episodes aired in 2009, how many of them are credited to Sam Im for additional timer? Clarification: in 2009 refers to air_date LIKE '2009%'; credited refers to credited = 'true'; Sam Im refers to person = 'Sam Im'; for additional timer refers to role = 'additional timer'	[query_database(*{'query': 'SELECT COUNT() FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Sam Im' AND SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.role = 'additional timer';'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) / 1 example row: SELECT * FROM episode LIMIT 1; episode_id \|\|season \|\|episode \|\|number_in_series \|\| title \|\| summary \|\| air_date \|\| episode_image \|\|rating \|\|votes S20-E1 \|\| 20 \|\| 1 \|\| 421 \|\|Sex, Pies and Idiot Scrapes \|\|Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. \|\|2008-09-28 \|\|https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg \|\| 7.2 \|\| 1192 / / column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) / 1 example row: SELECT * FROM person LIMIT 1; name \|\| birthdate \|\| birth_name \|\|birth_place \|\|birth_region \|\|birth_country \|\|height_meters \|\|nickname Marc Wilmore \|\|1963-05-04 \|\|Marc Edward Wilmore \|\| None \|\| California \|\| USA \|\| None \|\| None / / column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM award LIMIT 1; award_id \|\| organization \|\|year \|\|award_category \|\| award \|\| person \|\|role \|\|episode_id \|\|season \|\|song \|\|result 325 \|\|Primetime Emmy Awards \|\|2009 \|\|Primetime Emmy \|\|Outstanding Voice-Over Performance \|\|Dan Castellaneta \|\|None \|\| S20-E18 \|\| None \|\|None \|\|Winner / / column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) / 1 example row: SELECT * FROM character_award LIMIT 1; award_id \|\| character 325 \|\|Homer Simpson / / column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) / 1 example row: SELECT * FROM credit LIMIT 1; episode_id \|\| category \|\| person \|\| role \|\|credited S20-E10 \|\|Casting Department \|\|Bonita Pietila \|\|casting \|\| true / / column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM keyword LIMIT 1; episode_id \|\| keyword S20-E1 \|\|1930s to 2020s / / column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) / 1 example row: SELECT * FROM vote LIMIT 1; episode_id \|\|stars \|\|votes \|\|percent S20-E1 \|\| 2 \|\| 16 \|\| 1.3 / / column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 58, 1663, 28441, 22551, 13922, 1663, 1232, 364, 4963, 8498, 45823, 8, 4393, 22807, 32270, 1137, 5791, 63265, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question For the students who have been absent from school for the longest time, how many months have they been absent? Clarification: absent from school for the longest time refers to MAX(month)	[query_database(**{'query': 'SELECT MAX(month) FROM longest_absense_from_school'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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16, 31448, 13369, 22807, 32270, 1137, 5791, 63265, 5871, 350, 17, 6328, 350, 16, 15254, 609, 63, 284, 350, 17, 15254, 609, 63, 5401, 350, 17, 15254, 10460, 63, 871, 220, 20, 66360, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question Among the students that have filed for bankruptcy, how many of them have been absent from school for over 5 months? Clarification: absent from school for over 5 months refers to `month` > 5;	[query_database(**{'query': 'SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.`name` = T2.`name` WHERE T2.`month` > 5'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students are unemployed and have payment due? Clarification: are unemployed and have payment due refers to	[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name`'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question Which department has the most disabled students? Clarification: department refers to organ; most disabled students refers to MAX(disabled.name)	[query_database(**{'query': 'SELECT T2.organ, COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` GROUP BY T2.organ ORDER BY COUNT(T1.name) DESC LIMIT 1'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question Name all students enlisted in the foreign legion. Clarification: in the foreign legion organ = 'foreign_legion';	[query_database(**{'query': 'SELECT name FROM enlist WHERE organ = 'foreign_legion''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question List all students that have been absent for 6 months. Clarification: absent for 6 months `month` = 6;	[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE `month` = 6'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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15254, 609, 63, 4276, 2006, 320, 19638, 836, 4393, 8762, 883, 3651, 350, 16, 29891, 284, 364, 29875, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question List 10 students that have no due payments and are not males. Clarification: no due payments refers to bool = 'neg'; not males refers to not in male table	[query_database(**{'query': 'SELECT T1.name FROM no_payment_due AS T1 INNER JOIN person AS T2 ON T1.`name` = T2.`name` WHERE T2.`name` NOT IN ( SELECT name FROM male ) AND T1.bool = 'neg''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many male students have no due payments? Clarification: have no due payments refers to bool = 'neg';	[query_database(**{'query': 'SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN male AS T2 ON T1.name = T2.name WHERE T1.bool = 'neg''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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6328, 350, 16, 15254, 609, 63, 284, 350, 17, 15254, 609, 63, 5401, 350, 17, 67160, 284, 364, 1791, 13752, 6, 3651, 350, 16, 51272, 284, 364, 55225, 15076, 1725, 4708, 5525, 60, 128009 ]	Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question Count the number of students from UCSD enlisted in the peace corps. Clarification: in the peace corps refers to organ = 'peace_corps'; from UCSD refers to school = 'ucsd';	[query_database(**{'query': 'SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T1.`name` = T2.`name` WHERE T2.school = 'ucsd' AND T1.organ = 'peace_corps''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question List out student IDs that have the longest absence duration from school. Clarification: longest absence duration refers to MAX(month)	[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school )'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question Does disable students join organization. If yes, please indicate the organization joined by the students. Clarification: organization refers to organ	[query_database(**{'query': 'SELECT DISTINCT T2.organ FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name`'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many female students joined a marines and air force organization? Clarification: joined a marines refers to organ = 'marines'; air force organization refers to organ = 'air_force';	[query_database(**{'query': 'SELECT COUNT(name) FROM enlist WHERE organ IN ('marines', 'air_force') AND name NOT IN ( SELECT name FROM male )'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many female students are not joining any of the organization? Clarification: female students refers to enlist.name who are NOT in male.name	[query_database(**{'query': 'SELECT COUNT(name) FROM person WHERE name NOT IN ( SELECT name FROM male ) AND name NOT IN ( SELECT name FROM enrolled )'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question What is the average absence period of a disabled student? Clarification: average refers to DIVIDE(SUM(month), COUNT(name))	[query_database(**{'query': 'SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students have been absent above 2 months? Clarification: absent above 2 months refers to month > 2;	[query_database(**{'query': 'SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 2'})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/
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Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many unemployed students are enlisted in the navy organization? Clarification: enlisted in the navy organization refers to organ = 'navy';	[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'navy''})]	### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(*{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM bool LIMIT 1; name neg / / column definitions { "name": "" }/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) / 1 example row: SELECT * FROM person LIMIT 1; name student1 / / column definitions { "name": "student's name" }/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM disabled LIMIT 1; name student114 / / column definitions { "name": "the name of the disabled students" }/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM enlist LIMIT 1; name \|\| organ student40 \|\|fire_department / / column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 / / column definitions { "name": "student name who filed for bankruptcy" }/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name \|\|month student10 \|\| 0 / / column definitions { "name": "student's name", "month": "the duration of absence" }/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM male LIMIT 1; name student1 / / column definitions { "name": "student's name who are male" }/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM no_payment_due LIMIT 1; name \|\|bool student10 \|\| neg / / column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) / 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 / / column definitions { "name": "student who is unemployed" }/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) / 1 example row: SELECT * FROM enrolled LIMIT 1; name \|\|school \|\|month student10 \|\| smc \|\| 1 / / column definitions { "name": "", "school": "", "month": "" }*/

4,030

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Calculate the percentage of businesses who located in Mesa. What is attribute value of these businesses. Clarification: percentage = divide(count(business where city = 'Mesa'), count(business)) * 100%

[query_database(**{'query': 'SELECT CAST(COUNT(T1.city) AS REAL) * 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,034

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Which business ID has the most reviews? Clarification: the most reviews refer to MAX(user_id);

[query_database(**{'query': 'SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(user_id) DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,037

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users have uber review votes for funny from the fans? Clarification: users refer to user_id; review_votes_funny = 'uber';

[query_database(**{'query': 'SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,041

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users manage to get uber votes for all of the review category? Find out what are the user average star. Clarification: users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';

[query_database(**{'query': 'SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,045

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the percentage of user not becoming an elite user? Clarification: DIVIDE(SUBTRACT(COUNT(user_id), COUNT(Elite.user_id)), COUNT(user_id)) as percentage;

[query_database(**{'query': 'SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users )'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,049

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many business are opened for more than 8 hour in Mesa and what is the percentage of the active businesses? Clarification: business are opened for more than 8 hours refer to business_id where SUBTRACT(closing_time, opening_time) > 8; DIVIDE(COUNT(business_id where active = 'true' and city = 'Mesa' and SUBTRACT(closing_time, opening_time) > 8), COUNT(business_id where city = 'Mesa' and SUBTRACT(closing_time, opening_time) > 8)) as percentage;

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,053

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many business ids have opening hours from 8AM to 6PM? Clarification: opening hours from 8AM to 6PM refer to Business_Hours where opening_time = '8AM' and closing_time = '6PM';

[query_database(**{'query': 'SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,057

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What are the categories of businesses that have opening time on Sunday? Clarification: categories of businesses refer to category_name; Sunday refers to day_of_week where day_id = 1;

[query_database(**{'query': 'SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.opening_time <> '''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,061

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday. Clarification: Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';

[query_database(**{'query': 'SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,065

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many category id have low review count and rating more than 2? Clarification: rating more than 2 refers to stars > 2;

[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.review_count = 'Low' AND T3.stars > 2'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,069

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many businesses have the category named food? List those businesses and find the percentage of businesses with less than 2 stars. Clarification: businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;

[query_database(**{'query': 'SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) * 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,073

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the active and inactive ratio of the business with the review count of low. Clarification: DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = 'Low''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,077

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List down the business ID and attribute value of the attribute name of "payment_types_visa". Clarification:

[query_database(**{'query': 'SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,081

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the user ID, business ID with review length of the business which received the most likes in tips. Clarification: business which received the most likes refers to business_id where MAX(likes);

[query_database(**{'query': 'SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,085

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Within the user who joined Yelp in 2004, explore the user ID with average star of 5 and it's review length on the business. Clarification: user who joined Yelp in 2004 refers to user_id where user_yelping_since_year = 2014; user_average_stars = 5;

[query_database(**{'query': 'SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 5'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,089

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question For users with average ratings of 3, what kind of tip length they mostly left? Clarification: average ratings of 3 refer to user_average_stars = 3; kind of tip length they mostly left refers to tip_length where MAX(COUNT(user_id));

[query_database(**{'query': 'SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,093

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List down the closing day of businesses located at SC State. Clarification: closing day refers to SUBTRACT(days.day_id, business_Hours.day_id)

[query_database(**{'query': 'SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,097

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among businesses with "Wi-Fi" attribute, which businesses id are located at SC State? Clarification: "Wi-Fi" attribute refers to attribute_name = 'Wi-Fi' AND attribute_value = 'true'

[query_database(**{'query': 'SELECT T3.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,101

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question In how many businesses have customers had a bad or terrible experience? Clarification: stars = 2 means bad experience; stars = 1 means terrible experience; customers had a bad or terrible experience refers to stars = 2 OR stars = 1

[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 2)'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,105

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many reviews of businesses that are still open received an uber rating on the funny vote? Clarification: businesses that still open refers to active = 'true'; business received an uber rating on the funny vote refers to review_votes_funny = 'Uber'

[query_database(**{'query': 'SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny = 'Uber' AND T1.active = 'true''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,109

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question In which categories does the only business located in the city of Arcadia appear? Clarification: categories refers to category_name

[query_database(**{'query': 'SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city = 'Arcadia''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,113

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question How many users who have received a low cool vote have also received at least 1 low cool vote for some of their reviews? Clarification: low cool vote for user refers to user_votes_cool = 'Low'; low cool vote for review refers to review_votes_cool = 'Low'

[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_votes_cool = 'Low' AND T2.review_votes_cool = 'Low''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,117

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the average number of stars for businesses in the Obstetricians & Gynecologists category? Clarification: Obstetricians & Gynecologists category refers to category_name = 'Obstetricians & Gynecologists'; calculation = AVG(stars)

[query_database(**{'query': 'SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Obstetricians & Gynecologists''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,121

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the total number of active businesses in AZ with a medium review count? Clarification: active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'

[query_database(**{'query': 'SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,125

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses in Tempe, list the attribute of the business with a medium review count. Clarification: Tempe is a city; high review count refers to review_count = 'High'

[query_database(**{'query': 'SELECT DISTINCT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Tempe' AND T1.review_count = 'Medium''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question What is the category of the business with short review length and highest review stars within business ID from 7 to 14? Clarification: category of the business refers to category_name; short review length refers to review_length = 'Short'; the highest star rating refers to MAX(stars); business ID from 7 to 14 refers to business_id BETWEEN 7 AND 14

[query_database(**{'query': 'SELECT DISTINCT T3.category_name FROM Reviews AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = 'Short' AND T1.review_stars = ( SELECT MAX(review_stars) FROM Reviews )'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,133

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question List the categories of active businesses in Glendale, AZ. Clarification: active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state

[query_database(**{'query': 'SELECT DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,137

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/ ### Question Among the businesses with a category of Food, what is the percentage of the business with greater than 3 stars? Clarification: category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Attributes ( attribute_id INTEGER constraint Attributes_pk primary key, attribute_name TEXT ) /* 1 example row: SELECT * FROM attributes LIMIT 1; attribute_id ||attribute_name 1 || Alcohol */ /* column definitions { "attribute_id": "unique number identifying the attribute", "attribute_name": "the name of the attribute" }*/ CREATE TABLE Categories ( category_id INTEGER constraint Categories_pk primary key, category_name TEXT ) /* 1 example row: SELECT * FROM categories LIMIT 1; category_id ||category_name 1 || Active Life */ /* column definitions { "category_id": "", "category_name": "" }*/ CREATE TABLE Compliments ( compliment_id INTEGER constraint Compliments_pk primary key, compliment_type TEXT ) /* 1 example row: SELECT * FROM compliments LIMIT 1; compliment_id ||compliment_type 1 || photos */ /* column definitions { "compliment_id": "", "compliment_type": "" }*/ CREATE TABLE Days ( day_id INTEGER constraint Days_pk primary key, day_of_week TEXT ) /* 1 example row: SELECT * FROM days LIMIT 1; day_id ||day_of_week 1 || Sunday */ /* column definitions { "day_id": "the unique id identifying the day of the week", "day_of_week": "indicate the day of the week" }*/ CREATE TABLE Years ( year_id INTEGER constraint Years_pk primary key, actual_year INTEGER ) /* 1 example row: SELECT * FROM years LIMIT 1; year_id ||actual_year 2005 || 2005 */ /* column definitions { "year_id": "the unique number identifying the year", "actual_year": "actual year" }*/ CREATE TABLE "Business_Attributes" ( attribute_id INTEGER constraint Business_Attributes_Attributes_attribute_id_fk references Attributes, business_id INTEGER constraint Business_Attributes_Business_business_id_fk references Business, attribute_value TEXT, constraint Business_Attributes_pk primary key (attribute_id, business_id) ) /* 1 example row: SELECT * FROM business_attributes LIMIT 1; attribute_id ||business_id ||attribute_value 1 || 2 || none */ /* column definitions { "attribute_id": "id number identifying the attribute", "business_id": "id number identifying the business", "attribute_value": "sort of the attributes for each business" }*/ CREATE TABLE "Business_Categories" ( business_id INTEGER constraint Business_Categories_Business_business_id_fk references Business, category_id INTEGER constraint Business_Categories_Categories_category_id_fk references Categories, constraint Business_Categories_pk primary key (business_id, category_id) ) /* 1 example row: SELECT * FROM business_categories LIMIT 1; business_id ||category_id 1 || 8 */ /* column definitions { "business_id": "id number identifying the business", "category_id": "id number identifying the categories" }*/ CREATE TABLE "Business_Hours" ( business_id INTEGER constraint Business_Hours_Business_business_id_fk references Business, day_id INTEGER constraint Business_Hours_Days_day_id_fk references Days, opening_time TEXT, closing_time TEXT, constraint Business_Hours_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM business_hours LIMIT 1; business_id ||day_id ||opening_time ||closing_time 2 || 2 || 11AM || 8PM */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "opening_time": "opening time of the business", "closing_time": "closing time of the business" }*/ CREATE TABLE "Checkins" ( business_id INTEGER constraint Checkins_Business_business_id_fk references Business, day_id INTEGER constraint Checkins_Days_day_id_fk references Days, label_time_0 TEXT, label_time_1 TEXT, label_time_2 TEXT, label_time_3 TEXT, label_time_4 TEXT, label_time_5 TEXT, label_time_6 TEXT, label_time_7 TEXT, label_time_8 TEXT, label_time_9 TEXT, label_time_10 TEXT, label_time_11 TEXT, label_time_12 TEXT, label_time_13 TEXT, label_time_14 TEXT, label_time_15 TEXT, label_time_16 TEXT, label_time_17 TEXT, label_time_18 TEXT, label_time_19 TEXT, label_time_20 TEXT, label_time_21 TEXT, label_time_22 TEXT, label_time_23 TEXT, constraint Checkins_pk primary key (business_id, day_id) ) /* 1 example row: SELECT * FROM checkins LIMIT 1; business_id ||day_id ||label_time_0 ||label_time_1 ||label_time_2 ||label_time_3 ||label_time_4 ||label_time_5 ||label_time_6 ||label_time_7 ||label_time_8 ||label_time_9 ||label_time_10 ||label_time_11 ||label_time_12 ||label_time_13 ||label_time_14 ||label_time_15 ||label_time_16 ||label_time_17 ||label_time_18 ||label_time_19 ||label_time_20 ||label_time_21 ||label_time_22 ||label_time_23 1 || 1 || None || None || None || None || None || None || None || None || None || Low || None || Low || None || None || None || None || None || Low || None || None || None || None || None || None */ /* column definitions { "business_id": "id number identifying the business", "day_id": "id number identifying each day of the week", "label_time_0": "indicates times of checkins on a business", "label_time_1": "", "label_time_2": "", "label_time_3": "", "label_time_4": "", "label_time_5": "", "label_time_6": "", "label_time_7": "", "label_time_8": "", "label_time_9": "", "label_time_10": "", "label_time_11": "", "label_time_12": "", "label_time_13": "", "label_time_14": "", "label_time_15": "", "label_time_16": "", "label_time_17": "", "label_time_18": "", "label_time_19": "", "label_time_20": "", "label_time_21": "", "label_time_22": "", "label_time_23": "" }*/ CREATE TABLE "Elite" ( user_id INTEGER constraint Elite_Users_user_id_fk references Users, year_id INTEGER constraint Elite_Years_year_id_fk references Years, constraint Elite_pk primary key (user_id, year_id) ) /* 1 example row: SELECT * FROM elite LIMIT 1; user_id ||year_id 3 || 2010 */ /* column definitions { "user_id": "id number identifying the users", "year_id": "id number identifying the year" }*/ CREATE TABLE "Reviews" ( business_id INTEGER constraint Reviews_Business_business_id_fk references Business, user_id INTEGER constraint Reviews_Users_user_id_fk references Users, review_stars INTEGER, review_votes_funny TEXT, review_votes_useful TEXT, review_votes_cool TEXT, review_length TEXT, constraint Reviews_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM reviews LIMIT 1; business_id ||user_id ||review_stars ||review_votes_funny ||review_votes_useful ||review_votes_cool ||review_length 1 || 36129 || 2 || None || None || None || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "review_stars": "review on this business", "review_votes_funny": "the amount of funny votes that the user received for the review", "review_votes_useful": "how many useful votes that the user received for the review", "review_votes_cool": "how many cool votes that the user received for the review", "review_length": "The length of the review written by the user" }*/ CREATE TABLE "Tips" ( business_id INTEGER constraint Tips_Business_business_id_fk references Business, user_id INTEGER constraint Tips_Users_user_id_fk references Users, likes INTEGER, tip_length TEXT, constraint Tips_pk primary key (business_id, user_id) ) /* 1 example row: SELECT * FROM tips LIMIT 1; business_id ||user_id ||likes ||tip_length 2 || 12490 || 0 || Medium */ /* column definitions { "business_id": "the number identifying the business", "user_id": "the number identifying the user who comments on this business", "likes": "how many likes of this tips", "tip_length": "length of the tip" }*/ CREATE TABLE "Users_Compliments" ( compliment_id INTEGER constraint Users_Compliments_Compliments_compliment_id_fk references Compliments, user_id INTEGER constraint Users_Compliments_Users_user_id_fk references Users, number_of_compliments TEXT, constraint Users_Compliments_pk primary key (compliment_id, user_id) ) /* 1 example row: SELECT * FROM users_compliments LIMIT 1; compliment_id ||user_id ||number_of_compliments 1 || 3 || Medium */ /* column definitions { "compliment_id": "the id number indicating the compliment", "user_id": "the id number indicating the user", "number_of_compliments": "how many compliments a user has received from other users" }*/ CREATE TABLE "Business" ( business_id INTEGER constraint Business_pk primary key, active TEXT, city TEXT, state TEXT, stars REAL, review_count TEXT ) /* 1 example row: SELECT * FROM business LIMIT 1; business_id ||active || city ||state ||stars ||review_count 1 || true ||Phoenix || AZ || 3.0 || Low */ /* column definitions { "business_id": " unique number identifying the business", "active": "whether the business is still actively running until now", "city": "The city where the business is located", "state": "The state where the business is located", "stars": "ratings of the business", "review_count": "the total number of reviews the users have written for a business" }*/ CREATE TABLE "Users" ( user_id INTEGER constraint Users_pk primary key, user_yelping_since_year INTEGER, user_average_stars TEXT, user_votes_funny TEXT, user_votes_useful TEXT, user_votes_cool TEXT, user_review_count TEXT, user_fans TEXT ) /* 1 example row: SELECT * FROM users LIMIT 1; user_id ||user_yelping_since_year ||user_average_stars ||user_votes_funny ||user_votes_useful ||user_votes_cool ||user_review_count ||user_fans 1 || 2012 || 4.0 || Low || Low || Low || Medium || Low */ /* column definitions { "user_id": "the unique id number identifying which user", "user_yelping_since_year": "the time when the user join Yelp", "user_average_stars": "the average ratings of all review", "user_votes_funny": "total number of funny votes sent by the user", "user_votes_useful": "how many useful votes created by the user", "user_votes_cool": "how many cool votes created by the user", "user_review_count": "total number of reviews the user has written", "user_fans": "total number of fans / followers the user has" }*/

4,143

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Among all the DB class type citation, which word is the most frequently cited? Clarification: class type refers to class_label; class_label = 'DB'; word that is most frequently cited refers to max(count(word_cited_id);

[query_database(**{'query': 'SELECT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T2.word_cited_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/

4,147

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question List all words cited in the AI class label. Clarification:

[query_database(**{'query': 'SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/

4,151

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Name the paper which is cited most times and the paper which is cited least times? Also, find the number of times each one is cited. Clarification:

[query_database(**{'query': 'SELECT cited_paper_id, COUNT(cited_paper_id), ( SELECT cited_paper_id FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ), ( SELECT COUNT(cited_paper_id) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/

4,155

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/ ### Question Under what classification do the papers that cited word1163 belong? Clarification:

[query_database(**{'query': 'SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE cites ( cited_paper_id TEXT not null, citing_paper_id TEXT not null, primary key (cited_paper_id, citing_paper_id) ) /* 1 example row: SELECT * FROM cites LIMIT 1; cited_paper_id ||citing_paper_id 100157 || 100157 */ /* column definitions { "cited_paper_id": "cited_paper_id is the ID of the paper being cited", "citing_paper_id": "citing_paper_id stands for the paper which contains the citation" }*/ CREATE TABLE paper ( paper_id TEXT not null primary key, class_label TEXT not null ) /* 1 example row: SELECT * FROM paper LIMIT 1; paper_id ||class_label 100157 || Agents */ /* column definitions { "paper_id": "unique string ID of the paper", "class_label": "" }*/ CREATE TABLE content ( paper_id TEXT not null, word_cited_id TEXT not null, primary key (paper_id, word_cited_id), foreign key (paper_id) references paper(paper_id) ) /* 1 example row: SELECT * FROM content LIMIT 1; paper_id ||word_cited_id 100157 || word1163 */ /* column definitions { "paper_id": "unique string ID of the paper", "word_cited_id": "rtype" }*/

4,159

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the nickname for Dan Castellaneta? Clarification: "Dan Castellaneta" is the name of Person

[query_database(**{'query': 'SELECT nickname FROM Person WHERE name = 'Dan Castellaneta';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,163

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many crew members who were born in the USA were nominated for the Outstanding Animated Program (For Programming Less Than One Hour) award in 2009? Clarification: born in USA refers to birth_country = 'USA'; were nominated refers to result = 'Nominee'; 'Outstanding Animated Program (For Programming Less Than One Hour)' is the award; in 2009 refers to year = 2009

[query_database(**{'query': 'SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Nominee' AND T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.year = 2009;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the rating of the episode in which Dan Castellaneta won the Outstanding Voice-Over Performance award in 2009? Clarification: "Dan Castellaneta" is the person; 2009 is year; won refers result = 'Winner'

[query_database(**{'query': 'SELECT T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Dan Castellaneta';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What's the title of the episode that got the most 7-star votes in star score? Clarification: 7-stars vote refers to stars = 7; most refers to Max(votes)

[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 7 ORDER BY T2.votes DESC LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Name the title of the episode where Pamela Hayden voiced the character 'Ruthie.' Clarification: "Pamela Hayden" is the person; voice the character 'Ruthie' refers to role = 'Ruthie'

[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Write the title and all the keywords of the episode that was aired on 3/22/2009. Clarification: aired on 3/22/2009 refers to air_date = '2009-03-22'

[query_database(**{'query': 'SELECT T1.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many persons were born in New York, USA? Clarification: "New York" is the birth_place; 'USA' is the birth_region

[query_database(**{'query': 'SELECT COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Calculate the difference between the highest votes for episode and the lowest votes for episode. Clarification: highest vote refers to Max(votes); lowest vote refers to Min(votes); difference = Subtract(Max(votes), Min(votes))

[query_database(**{'query': 'SELECT MAX(votes) - MIN(votes) FROM Vote;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question List the name of persons who were not included in the credit for the 'How the Test Was Won' episode. Clarification: "How the Test Was Won" is the title of episode; not included in the credit refers to credited = ' '; name of person refers to person

[query_database(**{'query': 'SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.credited = 'false';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,196

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Based on the credits, state how many roles were played in the 5th episode of simpson 20. Clarification: 5th episode refers to episode = 5

[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 5;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,200

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many times was Ian Maxtone-Graham nominated for an award in Writers Guild of America, USA? Clarification: "Ian Maxtone-Graham" is the person; nominated refers to result = 'Nominee'; 'Writers Guild of America, USA' is the organization

[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE person = 'Ian Maxtone-Graham' AND organization = 'Writers Guild of America, USA' AND result = 'Nominee';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What year did the Simpsons receive its first ever award for Favorite Animated Comedy in People's Choice Award? Clarification: "Favorite Animated Comedy" is the award; 'People's Choice Award' is the award_category; received award refers to result = 'Winner'; first ever award refers to Min(year)

[query_database(**{'query': 'SELECT year FROM Award WHERE result = 'Winner' AND award = 'Favorite Animated Comedy' ORDER BY year DESC LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,208

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9417, 851, 1393, 17217, 1393, 40391, 1393, 4174, 1265, 36115, 1393, 2611, 2316, 1393, 5351, 4700, 12399, 1393, 220, 3805, 4257, 1393, 5351, 11317, 9417, 5060, 1393, 22696, 1393, 38935, 720, 262, 328, 508, 13737, 16, 1393, 262, 220, 508, 1393, 415, 220, 16, 1393, 1835, 220, 18245, 1393, 20004, 11, 393, 552, 323, 5336, 11345, 80185, 288, 1393, 39, 26429, 323, 71099, 733, 1139, 2626, 3871, 439, 53523, 49073, 11, 323, 386, 2812, 5097, 264, 2683, 520, 459, 34416, 66244, 13, 1393, 1049, 23, 12, 2545, 12, 1591, 1393, 2485, 1129, 76, 26142, 33317, 5639, 916, 9936, 10482, 10482, 53, 20, 33, 8673, 56, 86, 44, 41796, 17, 45, 73, 70, 20, 45, 868, 30042, 75, 20, 51341, 33, 77, 55, 74, 37, 83, 57, 51, 55233, 44, 89, 32, 17, 6204, 48, 17, 44, 73, 36, 31, 1462, 53, 16, 6803, 55, 10697, 25305, 15, 11, 15, 11, 10697, 11, 9390, 9089, 5056, 18458, 1393, 256, 220, 22, 13, 17, 1393, 220, 9079, 17, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 40391, 851, 794, 330, 32, 5016, 13110, 369, 18243, 761, 197, 1, 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31481, 345, 262, 10292, 12110, 16139, 345, 262, 10292, 692, 16139, 345, 262, 1732, 260, 16139, 345, 262, 3560, 1881, 16139, 345, 262, 9417, 851, 257, 16139, 345, 262, 3280, 260, 16139, 345, 262, 5609, 1881, 16139, 345, 262, 1121, 260, 16139, 345, 262, 7362, 1401, 320, 9164, 8, 15407, 7508, 3232, 1350, 262, 7362, 1401, 320, 40391, 851, 8, 15407, 20421, 7, 40391, 851, 340, 340, 3364, 16, 3187, 2872, 25, 720, 19638, 353, 4393, 10292, 10592, 220, 16, 26, 4815, 10292, 851, 1393, 260, 7471, 1393, 3236, 1393, 69706, 12110, 1393, 6663, 10292, 1393, 692, 1732, 1393, 5898, 1393, 40391, 851, 1393, 17217, 1393, 32851, 1393, 1407, 720, 257, 220, 15257, 1393, 67291, 4199, 67112, 23488, 1393, 1049, 24, 1393, 67291, 4199, 67112, 1393, 2729, 10276, 29030, 12, 1959, 21304, 1393, 39125, 11514, 85886, 1955, 1393, 4155, 1393, 256, 328, 508, 13737, 972, 1393, 220, 2290, 1393, 4155, 1393, 52055, 2355, 6343, 1075, 3330, 17931, 341, 197, 1, 69706, 851, 794, 330, 1820, 5016, 887, 369, 279, 10292, 761, 197, 1, 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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the birth place of the cast or crew member who won the Best Voice-Over Performance in Online Film & Television Association in 2009? Clarification: won refers to result = 'Winner'; 'Best Voice-Over Performance' is the award; ' Online Film & Television Association' is the organization; in 2009 refers to year = 2009

[query_database(**{'query': 'SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In Season 20 Episode 11, how many times was Doofus included in the credit list? Clarification: in Season 20 Episode 11 refers to episode_id = 'S20-E11'; 'Doofus' is the nickname of person; include in credit list refers to credited = 'true'

[query_database(**{'query': 'SELECT COUNT(*) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.credited = 'true' AND T2.episode_id = 'S20-E11';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,216

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the casts who were born in Los Angeles, describe the name and birth date of who have 1.8 m and above in height. Clarification: "Los Angeles" is the birth_place; 1.8 m and above in height refers to height_meters > = 1.8

[query_database(**{'query': 'SELECT name, birthdate FROM Person WHERE birth_place = 'Los Angeles' AND height_meters >= 1.8;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Name the person, award, organization, result and credited status of the assistant director in S20-E13. Clarification: "assistant director" is the role of person; 'S20-E13' is the episode_id; credited status refers to credited; credited = 'true' means the person is included in the credit list and vice versa

[query_database(**{'query': 'SELECT T1.person, T1.award, T1.organization, T1.result, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.episode_id = 'S20-E13' AND T2.role = 'assistant director';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question For the episode who won the award held by Jupiter Award, describe award name, aired date and rating of that episode. Clarification: held by Jupiter Award refers to organization = 'Jupiter Award'; won the award refers to result = 'Winner'

[query_database(**{'query': 'SELECT T1.award, T2.air_date, T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Jupiter Award' AND T1.result = 'Winner';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Describe name, birth country, role in episode and age in 2022 of the oldest crew member.. Clarification: age in 2022 refers to SUBTRACT(2022, substr(birthdate, 0, 5)); oldest refers to MIN(birthdate)

[query_database(**{'query': 'SELECT T1.name, T1.birth_place, T2.role, 2022 - CAST(SUBSTR(T1.birthdate, 1, 4) AS int) AS age FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birthdate IS NOT NULL ORDER BY T1.birthdate LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the total number of awards won by The simpson 20s: Season 20? Clarification: total number of awards refers to COUNT(award); awards won refers to result = 'Winner';

[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE result = 'Winner';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the birth name of Al Jean and his role in creating The simpson 20s: Season 20? Clarification:

[query_database(**{'query': 'SELECT DISTINCT T1.birth_name, T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.name = 'Al Jean';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,240

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is The simpson 20s: Season 20 average awards winning rate? Clarification: average awards winning rate refers to DIVIDE(SUM(result = 'winner'), COUNT(award));

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN result = 'Winner' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(award) AS rate FROM Award;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Who from The simpson 20s: Season 20 cast and crew was born in October 29, 1957 in Chicago, Illinois? Clarification: born in October 29, 1957 refers to birthdate = '1957-10-29'; in Chicago refers to birth_place = 'Chicago'; Illinois refers to birth_region = 'Illinois'

[query_database(**{'query': 'SELECT name FROM Person WHERE birthdate = '1957-10-29' AND birth_place = 'Chicago' AND birth_region = 'Illinois';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,248

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Please indicate the birthplace of the crew which name is Dan Castellaneta. Clarification:

[query_database(**{'query': 'SELECT birth_place FROM Person WHERE name = 'Dan Castellaneta';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode ids are rated 5 stars and have more than 100 votes? Clarification: more than 100 votes refers to votes > 100

[query_database(**{'query': 'SELECT episode_id FROM Vote WHERE stars = 5 AND votes > 100;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Who is the recipient of the Primetime Emmy Award with the most votes? Clarification: Primetime Emmy Award refers to award_category = 'Primetime Emmy'; the most votes refers to MAX(votes)

[query_database(**{'query': 'SELECT T1.person FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy' ORDER BY T2.votes DESC LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,261

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode did the composer win for Outstanding Music Composition for a Series (Original Dramatic Score) with more than 200 votes? Clarification: more than 200 votes refer to votes > 200; composer refers to role = 'composer'; Outstanding Music Composition for a Series (Original Dramatic Score) refers to award = 'Outstanding Music Composition for a Series (Original Dramatic Score)'

[query_database(**{'query': 'SELECT DISTINCT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.role = 'composer' AND T1.award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' AND T2.votes > 200;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many episodes have won the award for Outstanding Animated Program (Programming Under One Hour) with less than 100 votes? Calculate the percentage of episodes with less than 100 votes out of total episodes. Clarification: less than 100 votes refers to votes < 100; percentage refers to DIVIDE(COUNT(episode_id when votes < 100), COUNT(episode_id)) * 100%

[query_database(**{'query': 'SELECT SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,269

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In the crew, who was born in 1962 in California? Clarification: born in 1962 refers to year(birthdate) = 1962; in California refers to birth_region = 'California'

[query_database(**{'query': 'SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1962' AND birth_region = 'California';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the top five most popular episodes? Clarification: most popular episodes refers to MAX(votes)

[query_database(**{'query': 'SELECT episode_id FROM Episode ORDER BY votes DESC LIMIT 5;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the keywords of the episode "Take My Life, Please"? Clarification: episode "Take My Life, Please" refers to title = 'Take My Life, Please'

[query_database(**{'query': 'SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the number of votes for 10-star for the episode that has the keyword "reference to the fantastic four"? Clarification: 10-star refers to stars = 10

[query_database(**{'query': 'SELECT T2.votes FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 AND T1.keyword = 'reference to the fantastic four';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,285

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Which episode has the largest number of votes? Clarification: largest number of votes refers to MAX(votes)

[query_database(**{'query': 'SELECT episode FROM Episode WHERE votes = ( SELECT MAX(votes) FROM Episode );'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many 1 star ratings are there in the worst rated episode of the season? Clarification: worst rated episode refers to MIN(rating)

[query_database(**{'query': 'SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 1 ORDER BY T1.rating LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the episodes with an award nominee or winner, which has the highest percent of 5 star votes? Clarification: highest percent of 5 star votes refers to max(percent) where star = 5

[query_database(**{'query': 'SELECT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 5 ORDER BY T2.percent DESC LIMIT 1;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,297

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What award did the episode that aired on 11/30/2008 win? Clarification: aired on 11/30/2008 refers to air_date = '11/30/2008'; win refers to result = 'Winner'

[query_database(**{'query': 'SELECT T1.award FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Winner' AND T2.air_date = '2008-11-30';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What percentage of votes are from the nominated episodes? Clarification: nominated episodes refers to result = 'Nominee'; percentage of votes = DIVIDE(SUM(result = 'Nominee), SUM(Votes)) as percentage

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.result = 'Nominee' THEN T2.votes ELSE 0 END) AS REAL) * 100 / SUM(T2.votes) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Calculate the percentage of people who were born after 1970 and from California. Clarification: born after 1970 refers to birthdate > 1970; from California refers to birth_region = 'California'; percentage = divide(count(birthdate > 1970 and birth_region = 'California'), total(birthdate)) * 100%

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN birth_region = 'California' AND SUBSTR(birthdate, 1, 4) > '1970' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(birthdate) FROM Person;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question State the number of votes for episode with rating of 7 and above. Clarification: rating of 7 and above refers to rating > 7.0

[query_database(**{'query': 'SELECT votes FROM Episode WHERE rating > 7;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Write down the summary of episode whereby it has crew members that are not included in the credit list. Clarification: are not included in the credit list refers to credited = ''

[query_database(**{'query': 'SELECT T1.summary FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'false';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the characters that were nominated for Primetime Emmy Award from 2009 to 2010 but did not win? Clarification: nominated for Primetime Emmy Award but did not win refers to award_category = 'Primetime Emmy' and result = 'Nominee'; from 2009 to 2010 refers to year > = '2009' and year < = '2010'

[query_database(**{'query': 'SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award_category = 'Primetime Emmy' AND T1.year BETWEEN 2009 AND 2010 AND T1.result != 'Winner';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the percentage of star score 5 that was collected by title "Sex, Pies and Idiot Scrapes"? Clarification: percentage = DIVIDE(SUM(stars = 5), COUNT(stars)) as percentage

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,325

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question State the birth place of co-executive producer for nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award. Clarification: co-executive producer refers to role = 'co-executive producer'; nominee of "Outstanding Animated Program (For Programming Less Than One Hour)" award refers to award = 'Outstanding Animated Program (For Programming Less Than One Hour)' and result = 'Nominee'

[query_database(**{'query': 'SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.role = 'co-executive producer';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many episodes have the star score greater than 8? Clarification: star score greater than 8 refers to stars > 8

[query_database(**{'query': 'SELECT COUNT(DISTINCT episode_id) FROM Vote WHERE stars > 8;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,333

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many awards had been held in 2009? Clarification: had been held in 2009 refers to year = 2009

[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,337

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Calculate the percentage of the winners who are higher than 1.75 meters. Clarification: winners refers to result = 'Winner'; higher than 1.75 meters refers to height_meters > 1.75; percentage = divide(sum(result = 'Winner' and height_meters > 1.75), count(result = 'Winner' )) * 100%

[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.height_meters > 1.75 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question List out the names of the awarded character in the awards held in 2009. Clarification: in 2009 refers to year = 2009; name of awarded character refers to character

[query_database(**{'query': 'SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What are the keywords of the episode which has title as Dangerous Curves? Clarification:

[query_database(**{'query': 'SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Dangerous Curves';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question How many awards did simpson 20 won in 2009? Clarification: won refers to result = 'Winner'; in 2009 refers to year = 2009

[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009' AND result = 'Winner';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question What is the episode ID that received 2 stars and 9 votes? Clarification: 2 stars refers to stars = 2; 9 votes refers to votes = 9

[query_database(**{'query': 'SELECT episode_id FROM Vote WHERE stars = 2 AND votes = 9;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the episodes aired in 2008 with votes ranges from 920 to 950, list their percent. Clarification: aired in 2008 refers to air_date LIKE '2008%'; votes ranges from 920 to 950 refers to votes BETWEEN 920 AND 950

[query_database(**{'query': 'SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' AND T1.votes BETWEEN 950 AND 960;'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

4,361

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question Among the people in Animation Department, who are credited for additional time in the episode titled by "How the Test Was Won"? Clarification: Animation Department refers to category = 'Animation Department'; credited refers to credited = 'true'; for additional timer refers to role = 'additional timer'

[query_database(**{'query': 'SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.role = 'additional timer' AND T2.credited = 'true' AND T2.category = 'Animation Department';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/ ### Question In episodes aired in 2009, how many of them are credited to Sam Im for additional timer? Clarification: in 2009 refers to air_date LIKE '2009%'; credited refers to credited = 'true'; Sam Im refers to person = 'Sam Im'; for additional timer refers to role = 'additional timer'

[query_database(**{'query': 'SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Sam Im' AND SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.role = 'additional timer';'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE "Episode" ( episode_id TEXT constraint Episode_pk primary key, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date TEXT, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes S20-E1 || 20 || 1 || 421 ||Sex, Pies and Idiot Scrapes ||Homer and Ned go into business together as bounty hunters, and Marge takes a job at an erotic bakery. ||2008-09-28 ||https://m.media-amazon.com/images/M/MV5BMTYwMzk2Njg5N15BMl5BanBnXkFtZTgwMzA2MDQ2MjE@._V1_UX224_CR0,0,224,126_AL_.jpg || 7.2 || 1192 */ /* column definitions { "episode_id": "A unique identifier for episodes", "season": "the season of the episode", "episode": "the episode number of the episode", "number_in_series": "the number in series", "title": "the title of the episode", "summary": "the summary of the episode", "air_date": "the air date of the episode", "episode_image": "the image of episode", "rating": "the rating of episode", "votes": "the votes of episode" }*/ CREATE TABLE Person ( name TEXT constraint Person_pk primary key, birthdate TEXT, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname Marc Wilmore ||1963-05-04 ||Marc Edward Wilmore || None || California || USA || None || None */ /* column definitions { "name": "the name of the crew", "birthdate": "the birth date of the crew", "birth_name": "the birth name of the crew", "birth_place": "the birth place of the crew", "birth_region": "the birth region of the crew", "birth_country": "the birth country of the crew", "height_meters": "the height of the crew", "nickname": "the nickname of the crew" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, person TEXT, role TEXT, episode_id TEXT, season TEXT, song TEXT, result TEXT, foreign key (person) references Person(name), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || person ||role ||episode_id ||season ||song ||result 325 ||Primetime Emmy Awards ||2009 ||Primetime Emmy ||Outstanding Voice-Over Performance ||Dan Castellaneta ||None || S20-E18 || None ||None ||Winner */ /* column definitions { "award_id": "the unique id for the award", "organization": "the organization that holds the award", "year": "year of award", "award_category": "the category of the award", "award": "the name of the award", "person": "the person who gets the award", "role": "the role of the honoree", "episode_id": "S stands for 'Season' and E stands for 'Episode'", "season": "the season of the awarded work", "song": "the theme song of the awarded work", "result": "the final award result" }*/ CREATE TABLE Character_Award ( award_id INTEGER, character TEXT, foreign key (award_id) references Award(award_id) ) /* 1 example row: SELECT * FROM character_award LIMIT 1; award_id || character 325 ||Homer Simpson */ /* column definitions { "award_id": "A unique identifier for the award", "character": "the name of the awarded character" }*/ CREATE TABLE Credit ( episode_id TEXT, category TEXT, person TEXT, role TEXT, credited TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person) references Person(name) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id || category || person || role ||credited S20-E10 ||Casting Department ||Bonita Pietila ||casting || true */ /* column definitions { "episode_id": "A unique identifier for episodes", "category": "the category of the credit", "person": "the name of cast and crew members", "role": "the role of the person", "credited ": "whether the person is credited " }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id || keyword S20-E1 ||1930s to 2020s */ /* column definitions { "episode_id": "A unique identifier for episodes", "keyword": "the keywords of episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent S20-E1 || 2 || 16 || 1.3 */ /* column definitions { "episode_id": "A unique identifier for episodes", "stars": "the star score of the episode", "votes": "the number of votes of the star score", "percent": "the percent of the vote number of the star score" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question For the students who have been absent from school for the longest time, how many months have they been absent? Clarification: absent from school for the longest time refers to MAX(month)

[query_database(**{'query': 'SELECT MAX(month) FROM longest_absense_from_school'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Among the students that have filed for bankruptcy, how many of them have been absent from school for over 5 months? Clarification: absent from school for over 5 months refers to `month` > 5;

[query_database(**{'query': 'SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.`name` = T2.`name` WHERE T2.`month` > 5'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,377

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students are unemployed and have payment due? Clarification: are unemployed and have payment due refers to

[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name`'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,381

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Which department has the most disabled students? Clarification: department refers to organ; most disabled students refers to MAX(disabled.name)

[query_database(**{'query': 'SELECT T2.organ, COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` GROUP BY T2.organ ORDER BY COUNT(T1.name) DESC LIMIT 1'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,385

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Name all students enlisted in the foreign legion. Clarification: in the foreign legion organ = 'foreign_legion';

[query_database(**{'query': 'SELECT name FROM enlist WHERE organ = 'foreign_legion''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,389

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List all students that have been absent for 6 months. Clarification: absent for 6 months `month` = 6;

[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE `month` = 6'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,393

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List 10 students that have no due payments and are not males. Clarification: no due payments refers to bool = 'neg'; not males refers to not in male table

[query_database(**{'query': 'SELECT T1.name FROM no_payment_due AS T1 INNER JOIN person AS T2 ON T1.`name` = T2.`name` WHERE T2.`name` NOT IN ( SELECT name FROM male ) AND T1.bool = 'neg''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,397

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many male students have no due payments? Clarification: have no due payments refers to bool = 'neg';

[query_database(**{'query': 'SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN male AS T2 ON T1.name = T2.name WHERE T1.bool = 'neg''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,401

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Count the number of students from UCSD enlisted in the peace corps. Clarification: in the peace corps refers to organ = 'peace_corps'; from UCSD refers to school = 'ucsd';

[query_database(**{'query': 'SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T1.`name` = T2.`name` WHERE T2.school = 'ucsd' AND T1.organ = 'peace_corps''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,405

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question List out student IDs that have the longest absence duration from school. Clarification: longest absence duration refers to MAX(month)

[query_database(**{'query': 'SELECT name FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school )'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,410

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question Does disable students join organization. If yes, please indicate the organization joined by the students. Clarification: organization refers to organ

[query_database(**{'query': 'SELECT DISTINCT T2.organ FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name`'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,414

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many female students joined a marines and air force organization? Clarification: joined a marines refers to organ = 'marines'; air force organization refers to organ = 'air_force';

[query_database(**{'query': 'SELECT COUNT(name) FROM enlist WHERE organ IN ('marines', 'air_force') AND name NOT IN ( SELECT name FROM male )'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,417

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many female students are not joining any of the organization? Clarification: female students refers to enlist.name who are NOT in male.name

[query_database(**{'query': 'SELECT COUNT(name) FROM person WHERE name NOT IN ( SELECT name FROM male ) AND name NOT IN ( SELECT name FROM enrolled )'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,421

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question What is the average absence period of a disabled student? Clarification: average refers to DIVIDE(SUM(month), COUNT(name))

[query_database(**{'query': 'SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

4,425

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many students have been absent above 2 months? Clarification: absent above 2 months refers to month > 2;

[query_database(**{'query': 'SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 2'})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/

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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/ ### Question How many unemployed students are enlisted in the navy organization? Clarification: enlisted in the navy organization refers to organ = 'navy';

[query_database(**{'query': 'SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'navy''})]

### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE bool ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM bool LIMIT 1; name neg */ /* column definitions { "name": "" }*/ CREATE TABLE person ( "name" TEXT default '' not null primary key ) /* 1 example row: SELECT * FROM person LIMIT 1; name student1 */ /* column definitions { "name": "student's name" }*/ CREATE TABLE disabled ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM disabled LIMIT 1; name student114 */ /* column definitions { "name": "the name of the disabled students" }*/ CREATE TABLE enlist ( "name" TEXT not null, organ TEXT not null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM enlist LIMIT 1; name || organ student40 ||fire_department */ /* column definitions { "name": "the name of the enlisted students", "organ": "the organization that the student enlisted in " }*/ CREATE TABLE filed_for_bankrupcy ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM filed_for_bankrupcy LIMIT 1; name student122 */ /* column definitions { "name": "student name who filed for bankruptcy" }*/ CREATE TABLE longest_absense_from_school ( "name" TEXT default '' not null primary key, "month" INTEGER default 0 null, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM longest_absense_from_school LIMIT 1; name ||month student10 || 0 */ /* column definitions { "name": "student's name", "month": "the duration of absence" }*/ CREATE TABLE male ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM male LIMIT 1; name student1 */ /* column definitions { "name": "student's name who are male" }*/ CREATE TABLE no_payment_due ( "name" TEXT default '' not null primary key, bool TEXT null, foreign key ("name") references person ("name") on update cascade on delete cascade, foreign key (bool) references bool ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM no_payment_due LIMIT 1; name ||bool student10 || neg */ /* column definitions { "name": "student's name ", "bool": "whether the student has payment dues" }*/ CREATE TABLE unemployed ( "name" TEXT default '' not null primary key, foreign key ("name") references person ("name") on update cascade on delete cascade ) /* 1 example row: SELECT * FROM unemployed LIMIT 1; name student1000 */ /* column definitions { "name": "student who is unemployed" }*/ CREATE TABLE `enrolled` ( `name` TEXT NOT NULL, `school` TEXT NOT NULL, `month` INTEGER NOT NULL DEFAULT 0, PRIMARY KEY (`name`,`school`), FOREIGN KEY (`name`) REFERENCES `person` (`name`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM enrolled LIMIT 1; name ||school ||month student10 || smc || 1 */ /* column definitions { "name": "", "school": "", "month": "" }*/