1sf/bird-sql-train-with-schema huggingface dataset:
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Calculate the percentage of podcasts in the fiction-science-fiction category.
Evidence: percentage =   Divide (Count(podcast_id(category = 'fiction-science-fiction')), Count(podcast_id)) * 100
SQL: SELECT CAST(SUM(CASE WHEN category = 'fiction-science-fiction' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(podcast_id) OR '%' "percentage" FROM categories
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the average rating of all the podcasts with reviews created in 2019?
Evidence: created in 2019 refers to created_at BETWEEN '2019-01-01T00:00:00' and '2019-12-31T23:59:59'; average rating  = Divide (Sum(rating), Count(podcast_id))
SQL: SELECT AVG(rating) FROM reviews WHERE created_at BETWEEN '2019-01-01T00:00:00-07:00' AND '2019-12-31T23:59:59-07:00'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the percentage of reviews added each year of the total reviews added?
Evidence: review added each year refers to runs_at like '2021%' and runs_at like '2022%'; percentage for 2021 = Divide (Sum(reviews_added(runs_at like '2021%)), Sum(reviews_added)) * 100; percentage of 2022 = Divide (Sum(reviews_added(runs_at like '2022%')), Sum(reviews_added)) * 100
SQL: SELECT CAST((SUM(CASE WHEN run_at LIKE '2022-%' THEN reviews_added ELSE 0 END) - SUM(CASE WHEN run_at LIKE '2021-%' THEN reviews_added ELSE 0 END)) AS REAL) * 100 / SUM(reviews_added) OR '%' "percentage" FROM runs
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Indicates the title of all podcasts in the fiction category.
SQL: SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'fiction'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the rating and category of the podcast entitled Sitcomadon?
Evidence: entitled refers to title; 'Sitcomadon' is the title of podcast
SQL: SELECT DISTINCT T3.rating, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title = 'Sitcomadon'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Indicate the id of the reviewer whose itunes id is 1516665400.
Evidence: "151665400" is itunes_id; id of reviewer refers to author_id
SQL: SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.itunes_id = 1516665400
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What are the titles of the podcasts whose reviews were created between 2018-08-22T11:53:16-07:00 and 2018-11-20T11:14:20-07:00?
Evidence: created between 2018-08-22T11:53:16-07:00 and 2018-11-20T11:14:20-07:00 refers to created at BETWEEN '2018-08-22T11:53:16-07:00' and '2018-11-20T11:14:20-07:00'
SQL: SELECT DISTINCT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2018-08-22T11:53:16-07:00' AND '2018-11-20T11:14:20-07:00'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: To which categories do the podcasts of the reviewer whose id is EFB34EAC8E9397C belong?
Evidence: reviewer whose id is EFB34EAC8E9397C refers to author_id = 'EFB34EAC8E9397C'
SQL: SELECT DISTINCT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'EFB34EAC8E9397C'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Indicate the slug and the itunes url of the podcast whose review content was written Can't stop listening.
Evidence: review content was written Can't stop listening refers to content = 'Can't stop listening'
SQL: SELECT slug, itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM reviews WHERE content = 'Can''t stop listening' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What dates were the Don't Lie To Your Life Coach podcast reviews created?
Evidence: "Don't Lie To Your Life Coach" refers to title of podcast; date refers to created_at
SQL: SELECT created_at FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'Don''t Lie To Your Life Coach' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: In how many categories were podcast reviews created in the last six months of 2016? List them.
Evidence: created in last six months of 2016 refers to created_at BETWEEN '2016-07-01T00:00:00-07:00' and '2016-12-31T23:59:59-07:00'
SQL: SELECT COUNT(DISTINCT T1.category) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2016-07-01T00:00:00-07:00' AND '2016-12-31T23:59:59-07:00'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Calculate the average rating of the true crime category.
Evidence: average rating = Divide (Sum(rating(category = 'true-crime')), Count(podcast_id(category = 'true-crime')))
SQL: SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'true-crime'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: List the titles of the art category.
Evidence: art category refers to category = 'arts'
SQL: SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the average rating of all the podcasts in category art?
Evidence: category art refers to category = 'arts'; average rating = Divide (Sum (rating), Count (podcast_id))
SQL: SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Provide the names of podcasts in the art category in 2018.
Evidence: art category refers to category = 'arts'; in 2018 refers to created_at like '2018%'; name of podcast refers to title
SQL: SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts' AND T2.created_at LIKE '2018-%'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Write the names of the podcasts in the music category that have a rating greater than 3.
Evidence: music category refers to category = 'music'; rating greater than 3 refers to rating > 3; name of the podcast refers to title
SQL: SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' AND T2.rating > 3
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Which titles have the content "love" but the category is art produced between 2018 and 2019.
Evidence: content love refers to content = 'love'; 'arts' is the category; produced between 2018 and 2019 refers to year (created_at) BETWEEN 2018 and 2019
SQL: SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE (T2.created_at LIKE '2018-%' AND T1.category = 'arts' AND T2.content LIKE '%love%') OR (T2.created_at LIKE '2019-%' AND T1.category = 'arts' AND T2.content LIKE '%love%')
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the category and itune url of the title "Scaling Global"?
SQL: SELECT T1.category, T2.itunes_url FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Scaling Global'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the average rating of podcasts in comedy category?
Evidence: comedy category refers to category = 'comedy'; average rating = Divide (Sum(rating), Count(podcast_id))
SQL: SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'comedy'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the least common category?
Evidence: least common category refers to Min(Count(category))
SQL: SELECT category FROM categories GROUP BY category ORDER BY COUNT(podcast_id) ASC LIMIT 1
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the longest review?
Evidence: review refers to content; longest review refers to Max(content)
SQL: SELECT title FROM reviews ORDER BY LENGTH(content) DESC LIMIT 1
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the review with the title "Hosts bring the show down" for?
Evidence: "Hosts bring the show down" refers to title of review
SQL: SELECT title FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Hosts bring the show down' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Which "music" podcast has the longest title?
Evidence: music podcasts refers to category = 'music'; longest title refers to title = Max(length(title))
SQL: SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' ORDER BY LENGTH(T2.title) DESC LIMIT 1
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: List all the cagetories for all the podcasts with "jessica" in the title.
Evidence: podcast with 'jessica' in title refers to title like '%jessica%'
SQL: SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title LIKE '%jessica%' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the category for the "Moist Boys" podcast?
Evidence: "Moist Boys" refers to title of podcast
SQL: SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Moist Boys' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: List all of the two-star reviews and their categories.
Evidence: two-stars review refers to rating = 2
SQL: SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.rating = 2
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: List all the podcasts reviewed by a reviewer who has a review titled "Inspired & On Fire!".
Evidence: "Inspired & On Fire" refers to title of review
SQL: SELECT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Inspired & On Fire!'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What are the titles and categories of all the podcasts with a review that has "Absolutely fantastic" in it?
Evidence: review refers to content; 'Absolutely fantastic' in it refers to content like '%Absolutely fantastic%'
SQL: SELECT T2.title, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T3.content LIKE '%Absolutely fantastic%'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Which category has the most reviews?
Evidence: Most review refers to Max(Count(reviews.podcast_id))
SQL: SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id GROUP BY T1.category ORDER BY COUNT(T2.podcast_id) DESC LIMIT 1
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: List the urls for all the "fiction-science-fiction" podcasts.
Evidence: fiction-science-fiction podcasts refers to category = 'fiction-science-fiction'; urls refers to itunes_url
SQL: SELECT itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM categories WHERE category = 'fiction-science-fiction' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the content of the earliest review for the "Stuff You Should Know" podcast?
Evidence: "Stuff You Should Know" is the title of podcast; earliest refers to Min(created_at)
SQL: SELECT T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Stuff You Should Know' ORDER BY T2.created_at ASC LIMIT 1
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: How many reviews does "Planet Money" have?
Evidence: "Planet Money" is the title of podcast
SQL: SELECT COUNT(T2.podcast_id) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Planet Money'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the average rating for the "crime-junkie" podcast?
Evidence: "crime-junkie" podcast refers to title = 'crime-junkie'; average rating = Divide (Sum(rating), Count(rating))
SQL: SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Crime Junkie'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What percentage of podcasts are "technology" podcasts? List all of them.
Evidence: "technology" podcast refers to category = 'technology'; percentage = Divide (Count (podcast_id (category = 'technology')), Count (podcast_id)) * 100
SQL: SELECT CAST(SUM(CASE WHEN T1.category = 'technology' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.title) OR '%' "percentage" FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: What is the content of the review under the title "really interesting!" and is created on 2018-04-24 at 12:05:16?
Evidence: "really interesting" is the title of review;  created on 2018-04-24 at 12:05:16 refers to created_at = '2018-04-24T12:05:16-07:00'
SQL: SELECT content FROM reviews WHERE title = 'really interesting!' AND created_at = '2018-04-24T12:05:16-07:00'
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Which category is the podcast "Scaling Global" under?
Evidence: "Scaling Global" is the title of podcast
SQL: SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Scaling Global' )
Database: music_platform_2
Tables: runs, podcasts, reviews, categories
Columns (table index, column name): -1, *, 0, run_at, 0, max_rowid, 0, reviews_added, 1, podcast_id, 1, itunes_id, 1, slug, 1, itunes_url, 1, title, 2, podcast_id, 2, title, 2, content, 2, rating, 2, author_id, 2, created_at, 3, podcast_id, 3, category
Question: Please list the titles of all the podcasts under the category "arts-performing-arts".
Evidence: category 'arts-performing-arts' refers to category = 'arts-performing-arts';
SQL: SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts-performing-arts'