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🎵 Introducing Tamago Music Dataset - 
🎵 Introducing Tamago Music Dataset - 
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https://huggingface.co/datasets/nyuuzyou/tamago
dataset
nyuuzyou/tamago
https://huggingface.co/datasets/nyuuzyou/tamago
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A collection of 1,567 music tracks featuring:
A collection of 1,567 music tracks featuring:
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- Complete metadata with audio files and cover artwork
- Complete metadata with audio files and cover artwork
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- Rich track information including titles, descriptions, and genres
- Rich track information including titles, descriptions, and genres
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- User engagement metrics like play counts and reactions
- User engagement metrics like play counts and reactions
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- English language content from independent artists
- English language content from independent artists
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- Released under Creative Commons Zero (CC0) license
- Released under Creative Commons Zero (CC0) license
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Dataset structure includes:
Dataset structure includes:
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- Track metadata (titles, descriptions, genres, tags)
- Track metadata (titles, descriptions, genres, tags)
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- Associated media (audio files, cover images)
- Associated media (audio files, cover images)
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- Artist information and engagement metrics
- Artist information and engagement metrics
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Particularly valuable for:
Particularly valuable for:
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- Music generation model training
- Music generation model training
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- Cross-modal analysis
- Cross-modal analysis
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- Audio classification tasks
- Audio classification tasks
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- Music style and genre analysis
- Music style and genre analysis
🎵 Introducing Tamago Music Dataset - https://huggingface.co/datasets/nyuuzyou/tamago

A collection of 1,567 music tracks featuring:

- Complete metadata with audio files and cover artwork
- Rich track information including titles, descriptions, and genres
- User engagement metrics like play counts and reactions
- English language content from independent artists
- Released under Creative Commons Zero (CC0) license

Dataset structure includes:
- Track metadata (titles, descriptions, genres, tags)
- Associated media (audio files, cover images)
- Artist information and engagement metrics

Particularly valuable for:
- Music generation model training
- Cross-modal analysis
- Audio classification tasks
- Music style and genre analysis
🔥
John6666