metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: amusing
dtype: float64
- name: angry
dtype: float64
- name: annoying
dtype: float64
- name: anxious/tense
dtype: float64
- name: awe-inspiring/amazing
dtype: float64
- name: beautiful
dtype: float64
- name: bittersweet
dtype: float64
- name: calm/relaxing/serene
dtype: float64
- name: compassionate/sympathetic
dtype: float64
- name: dreamy
dtype: float64
- name: eerie/mysterious
dtype: float64
- name: energizing/pump-up
dtype: float64
- name: entrancing
dtype: float64
- name: erotic/desirous
dtype: float64
- name: euphoric/ecstatic
dtype: float64
- name: exciting
dtype: float64
- name: goose bumps
dtype: float64
- name: indignant/defiant
dtype: float64
- name: joyful/cheerful
dtype: float64
- name: nauseating/revolting
dtype: float64
- name: painful
dtype: float64
- name: proud/strong
dtype: float64
- name: romantic/loving
dtype: float64
- name: sad/depressing
dtype: float64
- name: scary/fearful
dtype: float64
- name: tender/longing
dtype: float64
- name: transcendent/mystical
dtype: float64
- name: triumphant/heroic
dtype: float64
splits:
- name: train
num_bytes: 166110026.787
num_examples: 1841
download_size: 159674012
dataset_size: 166110026.787
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- feature-extraction
- audio-classification
tags:
- Music
- Emotion
- Recognition
- MERT
- Dataset
- Audio
pretty_name: 13 Dimension Emotions Dataset
size_categories:
- 1K<n<10K
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