README.md

---
license: cc-by-nc-4.0
pretty_name: Embeat 45M Spotify Tracks
size_categories:
- 10M<n<100M
task_categories:
- feature-extraction
- tabular-classification
- other
language:
- en
tags:
- music
- spotify
- music-recommendation
- audio-features
- tabular
- metadata
---

# Embeat 45M Spotify Tracks

A large-scale music metadata dataset containing 45 million Spotify tracks, combined with the Spotify metadata from Anna's Archive and artist genres from Every Noise at Once.

**GitHub project**: [https://github.com/gdstudio-org/Embeat](https://github.com/gdstudio-org/Embeat)

## Dataset Preview

```python
>>> from datasets import load_from_disk
>>> ds = load_from_disk("GD-Studio/embeat_45m_spotify_tracks")
>>> ds
Dataset({
    features: ['track_id', 'track_name', 'isrc', 'popularity', 'explicit', 'artist_idx', 'artist_id', 'artist_name', 'artist_popularity', 'artist_genres', 'artist_genre_idx', 'album_id', 'album_name', 'release_year', 'duration', 'time_signature', 'tempo', 'key', 'mode', 'danceability', 'energy', 'loudness', 'speechiness', 'acousticness', 'instrumentalness', 'liveness', 'valence'],
    num_rows: 45059660
})
>>> ds[0]
{'track_id': '2plbrEY59IikOBgBGLjaoe', 'track_name': 'Die With A Smile', 'isrc': 'USUM72409273',
 'popularity': 1.0, 'explicit': 0, 'artist_idx': 7, 'artist_id': '0du5cEVh5yTK9QJze8zA0C',
 'artist_name': 'Bruno Mars', 'artist_popularity': 0.95, 'artist_genres': 'dance pop, pop',
 'artist_genre_idx': 8, 'album_id': '10FLjwfpbxLmW8c25Xyc2N', 'album_name': 'Die With A Smile',
 'release_year': 2024, 'duration': 251, 'time_signature': 3, 'tempo': 158, 'key': 6, 'mode': 0,
 'danceability': 0.521, 'energy': 0.592, 'loudness': -7.777, 'speechiness': 0.0304,
 'acousticness': 0.308, 'instrumentalness': 0.0, 'liveness': 0.122, 'valence': 0.535}
```

## Dataset Overview

Each row represents ONE track (Spotify track_id), enriched with:
- Track metadata (name / ISRC / popularity / explicit)
- Primary artist (id / name / popularity / genres)
- Album metadata (id / name / release year)
- Spotify audio features (danceability, energy, etc.)

**Dataset size**: 45,059,660 rows

**Sorted by**: popularity (desc), track_id (asc)

## Filtering Rules

- Track selection: tracks with popularity >= 1 (Spotify 0..100 scale)
- Audio features selection: keep only records with null_response == 0

## Indexes

We create two categorical indices for compact downstream modeling:

### artist_idx
- Range: 0..N
- 0 is reserved for missing/empty/"&lt;UNK&gt;" artist_name
- 1..N are assigned by descending artist popularity (higher popularity => smaller index)

### artist_genre_idx
- Range: 0..M
- 0 is reserved for missing/empty/"&lt;UNK&gt;"
- We obtained data from everynoise.com, and use specialized formulas to calculate the optimal genre for each artist ([Docs -> v0.4 chapter](https://www.bilibili.com/opus/1218087093501165591))
- If an artist has a valid artist_genre_idx but the artist_genres is empty, it means artist_genre_idx is inferred based on related artists
- 1..M are assigned by everynoise.com (https://everynoise.com/everynoise1d.html)

## Field Definitions

### Track Info

| Field | Type | Description |
|-------|------|-------------|
| track_id | string | Spotify base62 track id |
| track_name | string | Track name |
| isrc | string | International Standard Recording Code (ISRC). May be empty/missing |
| popularity | float32 | Track popularity, normalized to 0.0..1.0 (original Spotify scale 0..100) |
| explicit | int8 | 0 = non-explicit, 1 = explicit |

### Artist Info (Primary Artist)

| Field | Type | Description |
|-------|------|-------------|
| artist_idx | int32 | Popularity-based index (see "Indexes") |
| artist_id | string | Spotify base62 artist id (redirect-applied) |
| artist_name | string | May be empty for unknown artists |
| artist_popularity | float32 | Normalized to 0.0..1.0, rounded to 2 decimals |
| artist_genres | string | Comma-separated genres (delimiter is ", "), may be empty |
| artist_genre_idx | int16 | Frequency-based index (see "Indexes") |

### Album Info

| Field | Type | Description |
|-------|------|-------------|
| album_id | string | Spotify base62 album id |
| album_name | string | Album name |
| release_year | int16 | Album release year. 0 means missing/unknown/invalid |

### Audio Features

| Field | Type | Description |
|-------|------|-------------|
| duration | int32 | Duration in seconds, computed as floor (duration_ms / 1000) |
| time_signature | int8 | Estimated time signature. Typically 3..7 |
| tempo | int16 | Estimated tempo in BPM, rounded to nearest integer |
| key | int8 | Estimated key as pitch class. 0=C, 1=C#/Db, 2=D, ..., 11=B. -1 means unknown |
| mode | int8 | Modality. 1=major, 0=minor |
| danceability | float32 | 0.0..1.0 |
| energy | float32 | 0.0..1.0 |
| loudness | float32 | Overall loudness in dB. Typically -60.0..0.0 |
| speechiness | float32 | 0.0..1.0 |
| acousticness | float32 | 0.0..1.0 |
| instrumentalness | float32 | 0.0..1.0 |
| liveness | float32 | 0.0..1.0 |
| valence | float32 | 0.0..1.0 |

## Mapping Files

- `artist_genre_map.json`: artist_genre_idx -> artist_genre name

## Acknowledgements

- [Anna's Archive](https://annas-archive.org)
- [Every Noise at Once](https://everynoise.com)

## License

CC BY-NC 4.0

FOR STUDY PURPOSES ONLY. DO NOT USE IT COMMERCIALLY!

## Provider

GD Studio

2026-06-26