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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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