metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: ID
dtype: string
- name: Sex
dtype: int64
- name: Age
dtype: int64
- name: Disease category
dtype: int64
- name: Narrow pitch range
dtype: int64
- name: Decreased volume
dtype: int64
- name: Fatigue
dtype: int64
- name: Dryness
dtype: int64
- name: Lumping
dtype: int64
- name: heartburn
dtype: int64
- name: Choking
dtype: int64
- name: Eye dryness
dtype: int64
- name: PND
dtype: int64
- name: Smoking
dtype: int64
- name: PPD
dtype: float64
- name: Drinking
dtype: int64
- name: frequency
dtype: int64
- name: Diurnal pattern
dtype: int64
- name: 'Onset of dysphonia '
dtype: int64
- name: Noise at work
dtype: int64
- name: Occupational vocal demand
dtype: int64
- name: Diabetes
dtype: int64
- name: Hypertension
dtype: int64
- name: CAD
dtype: int64
- name: Head and Neck Cancer
dtype: int64
- name: Head injury
dtype: int64
- name: CVA
dtype: int64
- name: Voice handicap index - 10
dtype: float64
splits:
- name: train
num_bytes: 340418666
num_examples: 1000
download_size: 323237441
dataset_size: 340418666