datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
suno-ai-music-dataset
Suno AI Music Dataset (Multi-Genre Curated)
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track ships with full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema designed for downstream audio-ML research.
This is not a "scrape everything Suno produces" dump. It is a… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/suno-ai-music-dataset.GT-Music-Genre
GT-Music-Genre
This is an audio classification dataset for Music Analysis.
Classes = 10 , Split = Train-Test
Structure
audios folder contains audio files.
train.csv for training split and test.csv for the testing split.
Download
import os
import huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with… See the full description on the dataset page: https://huggingface.co/datasets/MahiA/GT-Music-Genre.LP_MusicCaps_MCMusicCaps-Curated-Tags
MusicCaps-Curated-Tags
Dataset Summary
MusicCaps-Curated-Tags is a derivative annotation dataset built upon the Google MusicCaps dataset.
The original MusicCaps dataset contains audio metadata, natural language captions, and an aspect_list describing various characteristics of each music clip. This repository preserves all original MusicCaps metadata, captions, and aspect_list annotations. Its primary contribution is the addition of a new curated_tags column… See the full description on the dataset page: https://huggingface.co/datasets/humairaneha/MusicCaps-Curated-Tags.