fma
Datasets
All datasets matching “fma”fma-labeled
FMA Labeled — Multi-Attribute Music Dataset
🏆 Submitted to the Uncharted Data Challenge
hosted by Adaption Labs — credit to
Adaptive Data by Adaption for organizing the hackathon.
A large-scale labeled music dataset built on top of the Creative-Commons
subset of the Free Music Archive (FMA). Every
track has been automatically annotated with lyrics, genre, mood, instruments,
tempo, key, and more using Google Gemini (gemini-flash-latest).
Intended for training and evaluating music… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/fma-labeled.fmaFMA is a dataset for music analysis. It includes song title, album, artist, genres; spectrograms, metadata, and features.fmars-dataset
FMARS: Foundation Model Annotations for Remote Sensing Images
FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.
Paper: https://arxiv.org/abs/2405.20109
Dataset Features
VHR Imagery: The dataset uses pre-event VHR… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/fmars-dataset.fma_xsmall
Introduction
This is a data subset extracted from the FMA music dataset, particularly the fma_small subset. There are 7 top level genres in this dataset, namely:
Hip-hop
Pop
Folk
Rock
International
Electronic
Instrumental
There dataset is composed of 210 .mp3 tracks, each of 30 seconds.
Metadata of the audio mp3 audio tracks could be found in metadata.csv.
The full mfa dataset could be found here
Credits
All credits go to the original creators for this dataset… See the full description on the dataset page: https://huggingface.co/datasets/mchl914/fma_xsmall.fma_largeThis .zip archive is part of the FMA, a dataset for music analysis.
Code & data: https://github.com/mdeff/fma
Paper: https://arxiv.org/abs/1612.01840
Each .mp3 is licensed by its artist.
The content's integrity can be verified with sha1sum -c checksums.
fma-small
FMA - Small: Pre - computed Log - Mel - Spectrograms for Music Genre Classification
Pre - processed FMA - Small dataset containing 155,153 log - mel - spectrogram segments ready for training audio genre classifiers. No audio decoding needed - load and train directly.
Dataset Details
Property
Value
Source
FMA-Small (8,000 tracks × 30s)
Representation
Log - Mel - Spectrogram
Sample Shape
(128, 300) - 128 mel bins × 300 time frames
Sample Rate
32,000 Hz… See the full description on the dataset page: https://huggingface.co/datasets/minhqng/fma-small.