DAMP (Digital Archive of Mobile Performances) Dataset Project Datasets extracted from the activities of Smule Users (Magic Piano and Sing! Karaoke). NOTE: Read the *[RESEARCH DATA AGREEMENT]* posted at the end of this README file. Summary: By downloading and using data from the DAMP dataset archives, you agree, among other things, that: * you will not redistribute the data, and * you will not use the data for commercial purposes. This document describes the sing300x30x2 dataset, assembled between November-Dec. 2017, from performances and SMule server events created/occuring between July and October, 2017. The sing300x30x2 dataset was formed by determining the most popular singers, female and male, of the 300 most popular arrangements (songs) in 30 countries. The most popular arrangements were determined by counting song starts or joins (duet/group) of recordings for each arrangement, within the country of interest. The term "arrangement" is used, because there might be multiple arrangements of the same song. The most popular performances and singers of those arrangements were determined by counting Listens (and/or Loves, if no complete Listens) for all performances of each arrangement. The sing_300x30x2 Data set: Found within the sing_300x30x2 folder, are 30 folders, one for each country. Here is the list of 30 countries and their codes: AE United Arab Emirates AR Argentina AU Australia BR Brazil CL Chile CN China DE Germany ES Spain FR France GB United Kingdom (Great Britain) HU Hungary IN India ID Indonesia IR Iran IQ Iraq IT Italy JP Japan KR South Korea MX Mexico MY Malaysia NO Norway PH Philippines PT Portugal RU Russia SA Saudi Arabia SG Singapore TH Thailand US United States of America VN Vietnam ZA South Africa Within each country folder, there are three directories, holding metadata for each of the 300 arrangements, lyric timings for each arrangement, and the 600 vocal performances (1 male, 1 female). Example: AE/AEArrangementMeta Metadata for each arrangement (song) AE/AELyrics Timed Lyrics (if available) for each arrangement AE/AEVocals Vocal tracks of top 2 performances, Male/Female Arrangement MetaData Files are named thusly: [arrangement_id].txt and contain information, where available, such as: Arrangement ID: 3771075_3771075 Arrangement title: Despacito Arrangement has lyrics: True Arrangement has PitchTrack: True Arrangement tags: 2010s, dance, flamenco, hiphop, latin, latinpop, pop, rap, reggaeton, spanish Arrangement artist: Luis Fonsi Care has been taken to preserve international UNICODE symbols were possible, for both Arrangement Meta Information and Lyrics Timing files: Arrangement ID: 386604149_188928 Arrangement title: على بالي Arrangement has lyrics: True Arrangement has PitchTrack: True Arrangement tags: arabicsongs, arab, sheren, arabic, egypt Arrangement artist: شيرين Lyrics Timing files are JSON files named thusly: [arrangement_id].json and contain either line-level or word-level timings for the lyrics (where available). Here is a short excerpt from one Lyrics Timing file: [ { "t": 14.419791666666667, "l": "You're givin' me a million reasons" }, { "t": 16.419791666666665, "l": "To let you go" }, ... ] Vocal performances are stored in each CCVocals directory, containing (roughly) 600 audio (m4a, OGG compressed) files named thusly: [arrangement_id]-[performance_id]-CC-GEND-[account_id].m4a where CC = 2 Letter Country Code and GEND = gender (M or F) Note that the delineators between segments in these filenames are dashes. Underscores occur in both arrangement and performance IDs, so dashes were selected to ensure unique automatic parsing. Here is a specific example vocal performance filename: 982160392_2914339-772360143_1567798916-AE-F-1048659059.m4a There is also a .csv file within each country folder, containing performance and user metadata for the performances/users from that country. At the top level sing_300x30x2 folder, there is a file, sing_300x30x2.csv which contains comma-separated user and performance level metadata for each performance, for all performances in the dataset. The items in each row, from left to right, are: arrangement_id unique song arrangement tag performance_id unique popular performance of this arrangement account_id of popular user singing on this performance country for this user locale for this user (includes country + language setting) latitude for this performance longitude for this performance city_id for this user gender for this user (NOTE: self reported, unverified) birth_year for this user (NOTE: self reported, unverified) creation_timestamp for this performance, UNIX integer time device_os for this performance headphones for this performance efx for this performance, audio efx selected/applied video for this performance ens_type SOLO, DUET, GROUP num_tracks for DUET/GROUP num_this_plyr for this performance, user might sing more than once listens for this performance loves for this performance rec_starts for this performance, how many times to user start record song_sing_restarts for this performance, user rewind/retry from within song song_review_restarts for this performance, same but from review screen at end total_user_perfs for this user, total number of performances of all songs app_inst_days user lifetime (actually for the sing app on this device type) followers for this user, total followers followees total other users followed by this user *************************************************************************************** *[RESEARCH DATA AGREEMENT]* SMULE RESEARCH DATA LICENSE AGREEMENT DIGITAL ARCHIVE OF MOBILE PERFORMANCES (DAMP) RESEARCHER (the downloader/user of the Smule Data) agrees as follows: 1. 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