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Album and Release Metadata

CustomerName_Album_YYYYMMDD.json

id
required
number

Dataset: Basic
ID of the album

title
required
string

Dataset: Basic
Title of the album

subtitle
string

Dataset: Basic
Subtitle of the album

label
string

Dataset: Basic
Label of the album

distributor
string

Dataset: Basic
Distributor of the album

type
required
string
Enum: "ORIGINAL" "LIVE" "COMPILATION" "KARAOKE" "RING" "OTHER"

Dataset: Basic
Type of the album

format
required
string
Enum: "ALBUM" "EP" "SINGLE" "MCD" "MIXTAPE"

Dataset: Basic
Format of the album

original_release_date
string

Dataset: Reco
Original release date of the album, with format “YYYY-MM-DD”. The value of “DD” and “MM” may be “00” if the day or month is unknown.

rating
number

Dataset: Review
Rating of the album

Array of objects

Dataset: Basic
Array containing the album's translated titles

object

Dataset: Basic
Object containing the IDs of the album in external databases and platforms

id_genre
number

Dataset: Basic
ID of the album’s genre

Array of objects

Dataset: Basic
Array of artists related to the album

object (Cover Art)

Dataset: Artwork
Cover art of the album

Array of objects (Review)

Dataset: Review
Array containing the album's reviews

Array of objects (Release)

Dataset: Basic
Array containing the album’s releases

{
  • "id": 12946,
  • "title": "The Rhythm of the Saints",
  • "subtitle": null,
  • "label": "Warner Bros.",
  • "distributor": "Warner",
  • "type": "ORIGINAL",
  • "format": "ALBUM",
  • "original_release_date": "1990-10-16",
  • "rating": 3,
  • "translated": [
    ],
  • "externals": {
    },
  • "id_genre": 143,
  • "artists": [
    ],
  • "cover_art": {},
  • "reviews": [
    ],
  • "releases": [
    ]
}

CustomerName_Album_Audio_Descriptions_YYYYMMDD.json

id_album
required
number

Dataset: Audio
ID of the album

arousal
number

Dataset: Audio
Perceptual measure related to intensity, energy and activity. High value usually corresponds to high energy track (hard rock, metal). Low value is given to calm tracks (slow, ballad)

danceability
number

Dataset: Audio
Indicates if a track is likely to be considered for dancing (perception of tempo and rhythm, stability and regularity). High value corresponds to more danceable tracks. Low value is related to tracks without any perceptual rhythm.

dissonance
number

Dataset: Audio
Indicates how dissonant is a track. High value corresponds to tracks without clear harmony, noisy timbre for example, or with very complex harmonies (dissonant intervals such as tritones, seconds, etc). Low value corresponds to tracks with simple harmony, clear melody, consonant harmonies (simple piano melodies for example).

electric_acoustic
number

Dataset: Audio
Indicates whether the track contains acoustic content. High value corresponds to acoustic tracks (acoustic guitar/piano, voice, classical music). Low value indicates tracks with electric content (electronic, distortion, audio effects).

melodicity
number

Dataset: Audio
Indicates whether a track contains or not a clearly audible melody. High value corresponds to pleasant, harmonic tracks, to which you feel like singing along. Low value is more related to noises, soundscapes or tracks with complex harmonies or melodies (classical, jazz, etc).

music_speech
number

Dataset: Audio
Indicates speech content in a track. High value is related to the presence of spoken words (interview, audio book, poetry, commentary). Low value probably corresponds to music, eventually with vocals (singing tracks), but without speech parts.

studio_live
number

Dataset: Audio
Indicates the probability that the track has been performed live. High value corresponds to live tracks. Low value is more probably related to studio recordings.

valence
number

Dataset: Audio
Perceptual measure of mood, related to positive or negative feelings, for example joy/sadness. High value corresponds to track with positive feelings. Low value refers to sad tracks.

vocal_instrumental
number

Dataset: Audio
Indicates whether a track contains or not vocals. High value indicates that the track probably contains no vocal sounds (instrumental) Low value probably corresponds to track with vocal content (singing words, rap, slam or speech for example).

{
  • "id_album": 1825,
  • "arousal": 0.6090944588744586,
  • "danceability": 0.42260865800865793,
  • "dissonance": 0.4210159740259739,
  • "electric_acoustic": 0.3986565800865799,
  • "melodicity": 0.6357076190476186,
  • "music_speech": 0.08721415584415596,
  • "studio_live": 0.294824155844156,
  • "valence": 0.4137444588744586,
  • "vocal_instrumental": 0.06088199134199131
}

CustomerName_Album_Credits_YYYYMMDD.json

All possible values are available in the appendix > credit section.

id_album
required
number

Dataset: Credit
ID of the album

Array of objects

Dataset: Credit
Table of object containing the credits information

{
  • "id_album": 696211,
  • "data": [
    ]
}

CustomerName_Matching_Album_YYYYMMDD.json

id_customername
required
any

Dataset: Matching
ID of the album in the Customer catalog

id_musicstory
required
number

Dataset: Matching
ID of the corresponding album in the Music Story catalog

{
  • "id_customername": null,
  • "id_musicstory": 0
}

CustomerName_Deleted_Album_YYYYMMDD.json

id
required
number

Dataset: Basic
ID of the deleted album

{
  • "id": 0
}

CustomerName_Deleted_Matching_Album_YYYYMMDD.json

id_customername
required
any

Dataset: Matching
ID of the album in the Customer catalog

id_musicstory
required
number

Dataset: Matching
ID of the corresponding album in the Music Story catalog

{
  • "id_customername": null,
  • "id_musicstory": 0
}