README.md

---
pretty_name: Spotify Public Playlists (Nov 2025)
dataset_summary: >-
  CSV export of 91,906 Spotify public playlists with playlist metadata, owner
  info, follower counts, cover images, JSON payloads, and historical signals.
language:
  - en
license: cc-by-4.0
tags:
  - music
  - spotify
  - playlists
  - tabular-data
size_categories:
  - 10K<n<100K
task_categories:
  - tabular-classification
---

# Spotify Public Playlists (November 2025)

This repository contains an open dataset with **91,906** Spotify playlists.
Each row represents a playlist and includes high-level metadata (name, owner,
follower count), cover image URLs, JSON payloads with the full Spotify
response, and various bookkeeping columns (status, popularity histograms,
history, etc.). The release ships as a ready-to-use CSV (`playlists.csv`,
~9 GB) plus a small preview file for browsing.

## Files

| Path | Description |
| --- | --- |
| `playlists.csv` | Final 91,906-row CSV (17 columns, ~9 GB) with one playlist per row. |
| `playlists_preview.csv` | 200-row slice (64 MB) for quick inspection / Hugging Face preview. |
| `LICENSE` | CC BY 4.0 license text covering this dataset. |

## Schema

| Column | Type | Notes |
| --- | --- | --- |
| `id` | integer | Autoincrement primary key from the source database. |
| `playlist_id` | string | Spotify playlist ID. |
| `name` | string | Playlist display name. |
| `description` | string | Spotify-provided description (HTML/emoji possible). |
| `followers_count` | integer | Followers when the snapshot was taken. |
| `owner_id` | string | Spotify user ID of the owner. |
| `owner_name` | string | Display name of the owner. |
| `is_public` | boolean | Whether the playlist was publicly visible. |
| `tracks_total` | integer | Number of tracks reported by Spotify. |
| `snapshot_id` | string | Snapshot token returned by Spotify for change tracking. |
| `image_url` | string | Primary cover image URL. |
| `raw_data` | JSON (string) | Full Spotify playlist payload as JSON (can exceed 1 MB). |
| `created_at` | timestamp | When this playlist was inserted into the source DB. |
| `updated_at` | timestamp | Last time the playlist row was updated. |
| `followers_history` | JSON (string) | Historical follower counts (if tracked). |
| `status` | string | ETL status flag from the upstream system. |
| `popularity_distribution` | JSON (string) | Histogram of track popularity buckets. |

## Loading the Dataset

Once the CSV is available (locally or via Hugging Face), you can load it with
your favorite data tooling. For quick experiments or to power the Hugging Face
table preview, use `playlists_preview.csv` (200 rows). When you need the full
corpus, switch to `playlists.csv`:

```python
import pandas as pd

df = pd.read_csv(
    "playlists.csv",
    dtype={"playlist_id": str, "owner_id": str},
    converters={"raw_data": lambda x: x},  # keep JSON as raw strings
)
print(len(df))  # 91906
```

For streaming workflows (due to the 9 GB size), consider `pyarrow.dataset` or
chunked `pandas.read_csv(..., chunksize=10_000)`.

## Publishing to Hugging Face

1. **Create dataset repo**: `huggingface-cli repo create <namespace>/spotify-playlists-2025 --type dataset`.
2. **Clone with Git LFS**: `GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/<namespace>/spotify-playlists-2025` then `cd` into it and run `git lfs install`.
3. **Copy assets**: Bring over `playlists.csv`, `playlists_preview.csv`, `README.md`, and `LICENSE` (track the large CSVs with Git LFS).
4. **Track large files**: `git lfs track "*.csv" "*.sql"`. Commit the updated `.gitattributes`.
5. **Push**: `git add . && git commit -m "Add Spotify playlists dataset" && git push`.
6. **Add metadata**: The `README.md` you are reading doubles as the Hugging Face dataset card, so it will render on the hub automatically.

Optional: Add any additional metadata files (schema diagrams, notebooks, etc.)
to enrich the dataset card and help users onboard faster.

## License

Creative Commons Attribution 4.0 International (CC BY 4.0). See `LICENSE` for
the full text. When using the dataset, credit “Spotify Public Playlists (Nov 2025)”
and include a link back to the Hugging Face dataset page or this repository.

## Citation

```
@dataset{spotify_public_playlists_nov2025,
  title        = Spotify Public Playlists (November 2025),
  author       = Max,
  year         = 2025,
  howpublished = Hugging Face Datasets,
  note         = CC-BY 4.0
}
```

## Contact

Questions or takedown requests? Open an issue or reach out via the contact info
on your Hugging Face profile.