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Million Song Subset (Processed Version)
Overview
This dataset is a structured extraction of the Million Song Subset, derived from HDF5 files into a tabular format for easier accessibility and analysis.
Source
- Original dataset: Million Song Dataset (LabROSA, Columbia University & The Echo Nest)
- Subset used: Million Song Subset (10,000 songs)
- URL: http://millionsongdataset.com
Processing Steps
- Extraction: Used
hdf5_getters.pyto retrieve all available fields. - Parallel Processing: Optimized extraction with
ProcessPoolExecutorfor speed. - Conversion: Structured into a Pandas DataFrame.
- Storage: Saved as a Parquet file for efficient usage.
Format
- Columns: Contains all available attributes from the original dataset, including artist metadata, song features, and audio analysis.
- File Format: Parquet (optimized for efficient querying & storage).
Usage
- Load the dataset with Datasets:
from datasets import load_dataset ds = load_dataset("trojblue/million-song-subset") - Explore and analyze various musical attributes easily.
License
- Original License: Refer to the Million Song Dataset license
- Processed Version: Shared for research and non-commercial purposes.
For more details, visit the Million Song Dataset website.
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