13-dimensions-music-emotions
This dataset contains audio files together with their corresponding emotion ratings. Each audio file has one or more emotion scores covering dimensions such as amusing, angry, annoying, anxious/tense, awe-inspiring/amazing, beautiful, bittersweet, calm/relaxing/serene, compassionate/sympathetic, dreamy, eerie/mysterious, energizing/pump‑up, entrancing, erotic/desirous, euphoric/ecstatic, exciting, goose bumps, indignant/defiant, joyful/cheerful, nauseating/revolting, painful, proud/strong, romantic/loving, sad/depressing, scary/fearful, tender/longing, transcendent/mystical, triumphant/heroic. The dataset is split into a training set containing 1,841 samples.
Dataset description and usage context
13 Dimensions Music Emotions Dataset
Dataset Overview
The dataset named "13 Dimensions Music Emotions Dataset" is primarily used for music emotion recognition tasks. It contains audio files and their corresponding scores on 13 emotion dimensions.
Dataset Features
- audio: Audio files (type: audio).
- amusing: Amusing (type: float64).
- angry: Angry (type: float64).
- annoying: Annoying (type: float64).
- anxious/tense: Anxious/Tense (type: float64).
- awe-inspiring/amazing: Awe‑inspiring/Amazing (type: float64).
- beautiful: Beautiful (type: float64).
- bittersweet: Bittersweet (type: float64).
- calm/relaxing/serene: Calm/Relaxing/Serene (type: float64).
- compassionate/sympathetic: Compassionate/Sympathetic (type: float64).
- dreamy: Dreamy (type: float64).
- eerie/mysterious: Eerie/Mysterious (type: float64).
- energizing/pump-up: Energizing/Pump‑up (type: float64).
- entrancing: Entrancing (type: float64).
- erotic/desirous: Erotic/Desirous (type: float64).
- euphoric/ecstatic: Euphoric/Ecstatic (type: float64).
- exciting: Exciting (type: float64).
- goose bumps: Goose Bumps (type: float64).
- indignant/defiant: Indignant/Defiant (type: float64).
- joyful/cheerful: Joyful/Cheerful (type: float64).
- nauseating/revolting: Nauseating/Revolting (type: float64).
- painful: Painful (type: float64).
- proud/strong: Proud/Strong (type: float64).
- romantic/loving: Romantic/Loving (type: float64).
- sad/depressing: Sad/Depressing (type: float64).
- scary/fearful: Scary/Fearful (type: float64).
- tender/longing: Tender/Longing (type: float64).
- transcendent/mystical: Transcendent/Mystical (type: float64).
- triumphant/heroic: Triumphant/Heroic (type: float64).
Dataset Split
- train: Training set, containing 1,841 samples, total size 166,110,026.787 bytes.
Dataset Size
- Download size: 159,674,012 bytes
- Dataset size: 166,110,026.787 bytes
Configuration
- config_name: default
- data_files:
- split: train
- path: data/train-*
Task Categories
- Feature Extraction
- Audio Classification
Tags
- Music
- Emotion
- Recognition
- MERT
- Dataset
- Audio
Dataset Name
- pretty_name: 13 Dimension Emotions Dataset
Scale
- size_categories: 1K<n<10K
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