Annotation zur Genre-Klassifikation von Musik

annotation_task_name: "Music Genre Classification"
task_dir: "."
 
data_files:
  - data/tracks.json
 
item_properties:
  id_key: track_id
  text_key: audio_preview
 
instance_display:
  fields:
    - key: artist
      type: text
      label: "Artist"
 
    - key: title
      type: text
      label: "Track"
 
    - key: audio_preview
      type: audio
      label: "Preview"
      display_options:
        controls: true
        show_waveform: true
 
annotation_schemes:
  - annotation_type: radio
    name: primary_genre
    description: "Select the primary genre"
    labels:
      - Rock
      - Pop
      - Hip-Hop
      - Electronic
      - Jazz
      - Classical
      - R&B
      - Country
      - Metal
      - Folk
    sequential_key_binding: true
 
output_annotation_dir: annotation_output/
export_annotation_format: jsonl

annotation_schemes:
  - annotation_type: radio
    name: genre
    description: "Primary genre"
    labels:
      - Rock
      - Electronic
      - Hip-Hop
      - Pop
      - Jazz
      - Classical
 
  - annotation_type: radio
    name: subgenre
    description: "Subgenre within the primary genre"
    labels:
      - Indie Rock
      - Punk
      - Metal
      - House
      - Techno
      - Drum & Bass
      - Boom Bap
      - Trap
      - Synth-pop
      - Bebop
      - Baroque
      - Romantic
      - Other

annotation_schemes:
  - annotation_type: multiselect
    name: genres
    description: "Select every genre that applies, up to three"
    labels:
      - Rock
      - Pop
      - Electronic
      - Hip-Hop
      - R&B
      - Jazz
      - Classical
      - Country
      - Folk
      - Metal
      - Punk
      - Indie
      - World
      - Latin
 
  - annotation_type: radio
    name: primary_genre
    description: "Which of the genres you selected is the primary one?"
    labels:
      - Rock
      - Pop
      - Electronic
      - Hip-Hop
      - R&B
      - Jazz
      - Classical
      - Country
      - Folk
      - Metal
      - Punk
      - Indie
      - World
      - Latin

annotation_task_name: "Music Tagging and Classification"
task_dir: "."
 
data_files:
  - data/music_library.json
 
item_properties:
  id_key: track_id
  text_key: preview_url
 
instance_display:
  layout:
    direction: vertical
    gap: 12px
 
  fields:
    - key: artist
      type: text
      label: "Artist"
 
    - key: title
      type: text
      label: "Track"
 
    - key: album
      type: text
      label: "Album"
 
    - key: year
      type: text
      label: "Year"
 
    - key: preview_url
      type: audio
      label: "Preview"
      display_options:
        controls: true
        show_waveform: true
 
annotation_schemes:
  - annotation_type: multiselect
    name: genres
    description: "Select all applicable genres"
    labels:
      - Rock
      - Pop
      - Electronic/Dance
      - Hip-Hop/Rap
      - R&B/Soul
      - Jazz
      - Classical
      - Country
      - Folk/Acoustic
      - Metal
      - Punk
      - Indie
      - World/International
      - Latin
      - Blues
      - Reggae
 
  - annotation_type: multiselect
    name: mood
    description: "Select the mood or moods of this track"
    labels:
      - Happy/Uplifting
      - Sad/Melancholic
      - Energetic
      - Calm/Relaxing
      - Aggressive
      - Romantic
      - Dark/Moody
      - Nostalgic
      - Motivational
 
  - annotation_type: likert
    name: energy
    description: "Energy level"
    size: 5
    min_label: "Very low energy"
    max_label: "Very high energy"
 
  - annotation_type: likert
    name: danceability
    description: "How danceable is this track?"
    size: 5
    min_label: "Not danceable"
    max_label: "Very danceable"
 
  - annotation_type: radio
    name: vocals
    description: "Vocal content"
    labels:
      - Instrumental only
      - Mostly instrumental
      - Balanced
      - Mostly vocals
      - Vocals dominant
 
  - annotation_type: radio
    name: era
    description: "Musical era or style"
    labels:
      - Pre-1970s
      - 1970s
      - 1980s
      - 1990s
      - 2000s
      - 2010s
      - 2020s
 
  - annotation_type: multiselect
    name: flags
    description: "Special flags, if any apply"
    labels:
      - Explicit content
      - Live recording
      - Remix or cover
      - Holiday/Seasonal
      - Soundtrack
      - Spoken word sections
    label_requirement:
      required: false
 
  - annotation_type: likert
    name: confidence
    description: "Confidence in your genre classification"
    size: 5
    min_label: "Uncertain"
    max_label: "Very confident"
 
annotation_instructions: |
  ## Music Tagging Guidelines
 
  ### Genre selection
  Choose one to three genres that describe the track. Prefer the most
  specific genre that fits, and fall back to a broader one when unsure.
 
  ### Mood
  Judge the overall emotional tone. A track can carry several moods.
 
  ### Energy and danceability
  Energy is tempo, intensity, and power. Danceability is rhythm, beat
  clarity, and groove. A slow track can be highly danceable.
 
  ### Listening
  Listen to at least 30 seconds, and listen past the intro. Drops and
  transitions are where the genre often becomes clear.
 
output_annotation_dir: annotation_output/
export_annotation_format: jsonl
 
user_config:
  allow_all_users: true

{
  "id": "track_001",
  "audio_url": "/audio/preview_001.mp3",
  "metadata": {
    "artist": "The Beatles",
    "title": "Here Comes the Sun",
    "album": "Abbey Road",
    "year": 1969
  },
  "annotations": {
    "genres": ["Rock", "Pop"],
    "mood": ["Happy/Uplifting", "Nostalgic"],
    "energy": 3,
    "danceability": 2,
    "vocals": "Balanced",
    "era": "Pre-1970s (Classic)",
    "flags": [],
    "confidence": 5
  }
}