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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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# Million Song Subset (Processed Version)
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## Overview
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This dataset is a structured extraction of the [Million Song Subset](http://millionsongdataset.com/pages/getting-dataset/#subset), derived from HDF5 files into a tabular format for easier accessibility and analysis.
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## Source
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- Original dataset: **Million Song Dataset** (LabROSA, Columbia University & The Echo Nest)
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- Subset used: **Million Song Subset** (10,000 songs)
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- URL: [http://millionsongdataset.com](http://millionsongdataset.com)
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## Processing Steps
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1. **Extraction**: Used `hdf5_getters.py` to retrieve all available fields.
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2. **Parallel Processing**: Optimized extraction with `ProcessPoolExecutor` for speed.
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3. **Conversion**: Structured into a Pandas DataFrame.
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4. **Storage**: Saved as a Parquet file for efficient usage.
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## Format
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- **Columns**: Contains all available attributes from the original dataset, including artist metadata, song features, and audio analysis.
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- **File Format**: Parquet (optimized for efficient querying & storage).
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## Usage
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- Load the dataset with Pandas:
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```python
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import pandas as pd
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df = pd.read_parquet("hf://trojblue/million-song-subset")
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```
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- Explore and analyze various musical attributes easily.
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## License
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- **Original License**: Refer to the [Million Song Dataset license](http://millionsongdataset.com/pages/terms-of-use/)
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- **Processed Version**: Shared for research and non-commercial purposes.
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For more details, visit the [Million Song Dataset website](http://millionsongdataset.com).
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