README.md

---
dataset_info:
  features:
  - name: analysis_sample_rate
    dtype: int32
  - name: artist_7digitalid
    dtype: int32
  - name: artist_familiarity
    dtype: float64
  - name: artist_hotttnesss
    dtype: float64
  - name: artist_id
    dtype: string
  - name: artist_latitude
    dtype: float64
  - name: artist_location
    dtype: string
  - name: artist_longitude
    dtype: float64
  - name: artist_mbid
    dtype: string
  - name: artist_mbtags
    sequence: binary
  - name: artist_mbtags_count
    sequence: int64
  - name: artist_name
    dtype: string
  - name: artist_playmeid
    dtype: int32
  - name: artist_terms
    sequence: binary
  - name: artist_terms_freq
    sequence: float64
  - name: artist_terms_weight
    sequence: float64
  - name: audio_md5
    dtype: string
  - name: bars_confidence
    sequence: float64
  - name: bars_start
    sequence: float64
  - name: beats_confidence
    sequence: float64
  - name: beats_start
    sequence: float64
  - name: danceability
    dtype: float64
  - name: duration
    dtype: float64
  - name: end_of_fade_in
    dtype: float64
  - name: energy
    dtype: float64
  - name: key
    dtype: int32
  - name: key_confidence
    dtype: float64
  - name: loudness
    dtype: float64
  - name: mode
    dtype: int32
  - name: mode_confidence
    dtype: float64
  - name: num_songs
    dtype: int64
  - name: release
    dtype: string
  - name: release_7digitalid
    dtype: int32
  - name: sections_confidence
    sequence: float64
  - name: sections_start
    sequence: float64
  - name: segments_confidence
    sequence: float64
  - name: segments_loudness_max
    sequence: float64
  - name: segments_loudness_max_time
    sequence: float64
  - name: segments_loudness_start
    sequence: float64
  - name: segments_pitches
    sequence:
      sequence: float64
  - name: segments_start
    sequence: float64
  - name: segments_timbre
    sequence:
      sequence: float64
  - name: similar_artists
    sequence: binary
  - name: song_hotttnesss
    dtype: float64
  - name: song_id
    dtype: string
  - name: start_of_fade_out
    dtype: float64
  - name: tatums_confidence
    sequence: float64
  - name: tatums_start
    sequence: float64
  - name: tempo
    dtype: float64
  - name: time_signature
    dtype: int32
  - name: time_signature_confidence
    dtype: float64
  - name: title
    dtype: string
  - name: track_7digitalid
    dtype: int32
  - name: track_id
    dtype: string
  - name: year
    dtype: int32
  splits:
  - name: train
    num_bytes: 2365768621
    num_examples: 10000
  download_size: 1041881893
  dataset_size: 2365768621
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Million Song Subset (Processed Version)

## Overview
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.

## Source
- Original dataset: **Million Song Dataset** (LabROSA, Columbia University & The Echo Nest)
- Subset used: **Million Song Subset** (10,000 songs)
- URL: [http://millionsongdataset.com](http://millionsongdataset.com)

## Processing Steps
1. **Extraction**: Used `hdf5_getters.py` to retrieve all available fields.
2. **Parallel Processing**: Optimized extraction with `ProcessPoolExecutor` for speed.
3. **Conversion**: Structured into a Pandas DataFrame.
4. **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:
  ```python
  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](http://millionsongdataset.com/pages/terms-of-use/)
- **Processed Version**: Shared for research and non-commercial purposes.

For more details, visit the [Million Song Dataset website](http://millionsongdataset.com).