Public Domain Music Dataset

Creators:

Phillip Long, Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick

Publication Date:

2024-09-16

Data Category:

Dataset Description:

This dataset consists of large-scale web scraping projects that provide publicly available datasets of e-commerce product listings, reviews, pricing, and other related data from various sources such as Kickstarter and Indiegogo. These datasets are used for data mining, analysis, and machine learning applications, enabling users to explore trends in product performance, customer sentiment, and pricing strategies across multiple industries.

Variables:

Variable	Description
path	File path to the MusicRender JSON data file.
metadata	File path to the associated metadata JSON file.
has_metadata	Indicates the presence of an associated metadata file (all entries are True).
version	Version number of the original MuseScore file.
is_user_pro	Indicates if the uploader is a MuseScore Pro subscriber.
is_user_publisher	Indicates if the uploader is a recognized music publisher.
is_user_staff	Indicates if the uploader is part of the MuseScore staff.
has_paywall	Indicates if the original MuseScore file was behind a paywall.
is_rated	Indicates if the original MuseScore file received any user ratings.
is_official	Indicates if the original MuseScore file was designated as an 'official' score.
is_original	Indicates if the original MuseScore file is an original composition.
is_draft	Indicates if the original MuseScore file was marked as a draft by the uploader.
has_custom_audio	Indicates if the original MuseScore file has an associated custom audio file.
has_custom_video	Indicates if the original MuseScore file has an associated custom video file.
n_comments	Number of comments on the original MuseScore file.
n_favorites	Number of users who favorited the original MuseScore file.
n_views	Number of views the original MuseScore file received.
n_ratings	Number of ratings the original MuseScore file received.
rating	Average user rating of the original MuseScore file (out of five stars).
license	Creative Commons license type of the original MuseScore file.
license_url	URL link to the specific Creative Commons license.
genres	Genres associated with the original MuseScore file, separated by hyphens if multiple.
groups	MuseScore groups associated with the original file, separated by hyphens if multiple.
tags	Tags assigned to the original MuseScore file, separated by hyphens if multiple.
song_name	Name of the song, if available.
title	Title of the song, often identical to song_name.
subtitle	Subtitle of the song, if available.
artist_name	Name of the artist who created the song, if available.
composer_name	Name of the composer, often identical to artist_name.
publisher	Publisher of the song, if available.
complexity	MuseScore-assigned complexity score of the original file (ranging from 0 to 3).
n_tracks	Number of tracks (parts) in the original MuseScore file.
tracks	Names of the tracks, separated by hyphens if multiple.
song_length	Length of the song in metrical MusPy time steps.
song_length.seconds	Length of the song in seconds.
song_length.bars	Length of the song in bars.
song_length.beats	Length of the song in beats.
n_notes	Total number of notes in the song.
notes_per_bar	Average number of notes per bar.
n_annotations	Number of annotations in the song.
has_annotations	Indicates if the song contains any annotations.
n_lyrics	Number of lyrics lines in the song.
has_lyrics	Indicates if the song includes lyrics.
n_tokens	Total number of tokens (sum of notes, annotations, and lyrics) in the song.
pitch_class_entropy	Pitch class entropy of the song, as calculated by the MusPy package.
scale_consistency	Scale consistency of the song (ranging from 0 to 1), as calculated by the MusPy package.
groove_consistency	Groove consistency of the song (ranging from 0 to 1), as calculated by the MusPy package.
best_path	Best file path in the song's title duplicate grouping.
is_best_path	Indicates if the song is the best_path in its title duplicate grouping.
best_arrangement	Best file path in the song's title-instrumentation duplicate grouping.
is_best_arrangement	Indicates if the song is the best_arrangement in its title-instrumentation duplicate grouping.
best_unique_arrangement	Best file path in the song's title-instrumentation-arrangement duplicate grouping.
is_best_unique_arrangement	Indicates if the song is the best_unique_arrangement in its grouping; all such songs are part of the Deduplicated subset.
subset_all	Indicates if the song is part of the 'All' subset (all entries are True).
subset_deduplicated	Indicates if the song is part of the 'Deduplicated' subset.

Details:

Add to Favorites

Public Domain Music Dataset

Steam Video Game Database

Web data: Amazon movie reviews

Trip Advisor Hotel Reviews

Public Domain Music Dataset

Sign In

Register

Reset Password