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Co-authored-by: Humair M <humair025@users.noreply.huggingface.co>

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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-to-audio
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+ - audio-classification
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+ tags:
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+ - music
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+ - audio
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+ - suno
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+ - music-generation
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+ - ai-music
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+ pretty_name: Suno Audio Dataset
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+ viewer: true
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # 🎵 Suno Audio Dataset
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+
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+ A comprehensive dataset of **13,912** AI-generated music tracks from Suno, organized in **14** batches of 1000 samples each.
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+
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+ 🎧 **All audio files are playable directly in the dataset viewer!**
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+
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+ ## Dataset Structure
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+
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+ The dataset is organized into batches (`batch_0`, `batch_1`, etc.), each containing up to 1000 audio samples with metadata.
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+
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+ ### Fields
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+
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+ - **`audio`**: 🎵 **Playable MP3 audio file** (click to play in viewer!)
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+ - `id`: Unique track identifier
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+ - `title`: Song title
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+ - `display_name`: Creator/artist name
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+ - `handle`: Creator handle
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+ - `tags`: Music tags, genres, and styles
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+ - `prompt`: Text prompt used for generation
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+ - `duration`: Track duration in seconds
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+ - `play_count`: Number of plays on Suno
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+ - `upvote_count`: Community upvotes
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+ - `model_name`: Suno model version used
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+ - `created_at`: Creation timestamp
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+ - `status`: Track status
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+ - `is_public`: Public visibility flag
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+
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+ ## Usage
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+
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+ ### Load Entire Dataset
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load all batches
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+ dataset = load_dataset("Humair332/suno-audio")
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+ print(f"Total tracks: {len(dataset['train'])}")
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+ ```
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+
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+ ### Load Specific Batch
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+
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+ ```python
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+ # Load only batch 0
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+ dataset = load_dataset("Humair332/suno-audio", data_dir="batch_0")
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+ ```
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+
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+ ### Play Audio
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+
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+ ```python
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+ # Get audio data
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+ audio_data = dataset['train'][0]['audio']
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+ audio_array = audio_data['array']
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+ sampling_rate = audio_data['sampling_rate']
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+
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+ # Play in Jupyter/Colab
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+ from IPython.display import Audio
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+ Audio(audio_array, rate=sampling_rate)
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+ ```
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+
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+ ### Filter by Tags
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+
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+ ```python
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+ # Filter by genre
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+ rock_songs = dataset['train'].filter(lambda x: 'rock' in x['tags'].lower())
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+ print(f"Found {len(rock_songs)} rock songs")
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+ ```
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+
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+ ### Most Popular Tracks
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+
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+ ```python
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+ # Sort by play count
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+ from datasets import Dataset
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+ df = dataset['train'].to_pandas()
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+ top_tracks = df.nlargest(10, 'play_count')[['title', 'display_name', 'play_count']]
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+ print(top_tracks)
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+ ```
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+
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+ ## Dataset Statistics
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+
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+ - **Total Tracks**: 13,912
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+ - **Batches**: 14
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+ - **Batch Size**: 1000
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+ - **Format**: Apache Arrow with embedded MP3 audio
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+ - **Audio Format**: MP3
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+ - **Metadata**: Tags, prompts, engagement metrics
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+
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+ ## Explore the Music! 🎶
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+
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+ Click on the dataset viewer above and browse through the tracks. Click any row to play the audio directly in your browser!
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+
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+ ## Source
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+
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+ Original dataset: [nyuuzyou/suno](https://huggingface.co/datasets/nyuuzyou/suno)
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+
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+ ## License
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+
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+ MIT License
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @dataset{suno_audio_dataset,
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+ title={Suno Audio Dataset},
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+ author={Humair332},
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+ year={2026},
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+ publisher={Hugging Face},
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+ url={https://huggingface.co/datasets/Humair332/suno-audio}
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+ }
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+ ```
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