Environmental Sound Classification

annotation_task_name: "Environmental Sound Classification"
task_dir: "."

port: 8000

# Data configuration
data_files:
  - "data/environmental_sounds.json"

item_properties:
  id_key: id
  text_key: text
instance_display:
  fields:
    - key: audio_url
      type: audio
      label: "Recording"
    - key: text
      type: text
      label: "Notes"

# Annotation schemes
annotation_schemes:
  # Primary sound category (UrbanSound8K classes)
  - annotation_type: radio
    name: sound_category
    description: "Select the primary sound category"
    labels:
      - name: Air conditioner
        key_value: "1"
      - name: Car horn
        key_value: "2"
      - name: Children playing
        key_value: "3"
      - name: Dog bark
        key_value: "4"
      - name: Drilling
        key_value: "5"
      - name: Engine idling
        key_value: "6"
      - name: Gun shot
        key_value: "7"
      - name: Jackhammer
        key_value: "8"
      - name: Siren
        key_value: "9"
      - name: Street music
        key_value: "0"
    sequential_key_binding: true

  # Sound prominence
  - annotation_type: radio
    name: prominence
    description: "How prominent is the target sound?"
    labels:
      - Dominant (clearly the main sound)
      - Present (audible but not dominant)
      - Background (barely audible)
      - Absent (wrong label)

  # Audio quality
  - annotation_type: radio
    name: audio_quality
    description: "Rate the recording quality"
    labels:
      - Clear (easy to identify)
      - Moderate (some noise)
      - Poor (difficult to identify)
      - Unusable (cannot determine)

  # Confidence
  - annotation_type: likert
    name: confidence
    description: "How confident are you in your classification?"
    size: 5
    min_label: "Guessing"
    max_label: "Certain"

# User settings
require_password: false

# Output
output_annotation_dir: "annotation_output/"
export_annotation_format: "jsonl"