Hanno-Labs/sounds-like-fingerprints
sounds-like fingerprints Album metadata paired with an LLM-generated "sounds like" description, for ~25.7k albums. No review text. The copyrighted review prose is deliberately stripped — this dataset contains only factual album metadata and our own LLM-generated sonic fingerprints. column meaning artist, album album identity genre coarse genre tag year_released, rating, reviewer, label, reviewed factual metadata album_art_url cover image URL source provenance… See the full description on the dataset page: https://huggingface.co/datasets/Hanno-Labs/sounds-like-fingerprints.
sounds-like fingerprints
Album metadata paired with an LLM-generated "sounds like" description, for ~25.7k albums.
No review text. The copyrighted review prose is deliberately stripped — this dataset contains only factual album metadata and our own LLM-generated sonic fingerprints.
The sounds_like field is the target text that defines the geometry for the model **Hanno-Labs/langset-sounds-like**: it describes how each album sounds (with vocal register and emotional tenor weighted alongside instrumentation), so a langset latent trained on it clusters by sound, not by review text.
Fingerprints were generated with Gemini 3.1 Flash Lite from full album reviews; the reviews themselves are not included in this dataset.
Load
from datasets import load_dataset
ds = load_dataset("Hanno-Labs/sounds-like-fingerprints", split="train")
print(ds[0]["artist"], "—", ds[0]["album"], "::", ds[0]["sounds_like"][:120])