Datasetpublic

vancenceho/spotify-lyrics-clean

Spotify Million Song Lyrics Cleaned CSV of deduplicated, normalized lyrics aligned to the Million Song–style raw lyrics dump used in the viral-content-predictor project. Each row is one (artist, song) identity after normalization; lyrics are cleaned text suitable for TF‑IDF, retrieval, or joining to Spotify metadata via artist_norm / title_norm. File File Role lyrics_cleaned.csv One row per normalized (artist_norm, title_norm); includes raw display… See the full description on the dataset page: https://huggingface.co/datasets/vancenceho/spotify-lyrics-clean.

sourceHugging Facecdla-sharing-1.0updated 5mo agoView on Hugging Face

0likes119downloads

Dataset Card

Spotify Million Song Lyrics Cleaned

CSV of deduplicated, normalized lyrics aligned to the Million Song–style raw lyrics dump used in the viral-content-predictor project. Each row is one (artist, song) identity after normalization; lyrics are cleaned text suitable for TF‑IDF, retrieval, or joining to Spotify metadata via artist_norm / title_norm.

File

File	Role
`lyrics_cleaned.csv`	One row per normalized `(artist_norm, title_norm)`; includes raw display columns and lyric text.

Source

—Upstream: Raw lyrics table (e.g. spotify_millsongdata.csv in data/raw/), derived from the Spotify Million Song Dataset–style corpus.
—Pipeline: notebooks/exploratory/explore_lyrics_clean.ipynb — normalization, lyric text cleanup, deduplication (keeping the longest lyric per normalized artist–title pair where applicable).

Schema (typical columns)

Column	Description
`artist`	Original artist string.
`song`	Original track title string.
`artist_norm`	Normalized artist key for joins.
`title_norm`	Normalized title key for joins.
`lyrics_char_len`	Character length of the lyric text (or similar size signal).
`lyrics`	Full lyric text (cleaned).

Exact column order and any extra fields follow the exporting notebook revision.

Usage

python

import pandas as pd

lyr = pd.read_csv("lyrics_cleaned.csv")
# Join to Spotify-side tables on artist_norm / title_norm (and track_id after mapping)

Size note

The full cleaned file can be large (multi‑million characters / many rows). If your snapshot is bigger than 10K<n<100K, update the Hub `size_categories` in the YAML (e.g. 1M<n<10M or n>10M) so the dataset card matches reality.

Limitations

—Language: Primarily English lyrics in practice; not language-tagged per row in this export.
—Rights: Lyrics are third-party content; redistribution must respect CDLA-Sharing-1.0 (this card), the original dataset license, and applicable copyright rules in your jurisdiction.

Citation

Cite the original Million Song Dataset / lyrics source you used, plus your repository or notebook revision for the cleaning steps.