Data · dataset · 2022
Lehrig/GTZAN-Collection
Listed in Hugging Face Datasets
The dataset consists of 1000 audio tracks each 30 seconds long.
Description
It contains 10 genres, each represented by 100 tracks. The tracks are all 22050Hz Mono 16-bit audio files in .wav format.
The genres are:
Read the rest (1 more)
- blues
- classical
- country
- disco
- hiphop
- jazz
- metal
- pop
- reggae
- rock This collection includes the following GTZAN variants:
- raw (original WAV files)
- melspectrograms (from each WAV file, contiguous 2-second windows at 4 random locations are sampled and transformed to Mel Spectrograms, resulting in 8000 Mel Spectrograms)
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/Lehrig/GTZAN-Collection ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/Lehrig/GTZAN-Collection ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
- Inferred from text
- Audio 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | Lehrig/GTZAN-Collection | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:audio | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |