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Dataset assetOpen Source CommunityAudio Classification
renumics/esc50
ESC‑50 is an environmental sound classification dataset comprising 50 distinct sound categories such as animal noises (dog, cat, chicken), natural sounds (rain, sea waves, wind), human sounds (laughter, cough, footstep), and mechanical sounds (helicopter, chainsaw, siren). Features include audio files, labels, and fold information. The training set contains 2,000 samples (≈882 MB). The dataset is released under a Creative Commons Attribution‑NonCommercial license.
Source
hugging_face
Created
Nov 28, 2025
Updated
Nov 9, 2023
Signals
327 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Information
Features
- src_file: string
- fold: int64
- label: categorical with 50 classes (e.g., 0: dog, 1: rooster, …, 49: hand_saw)
- esc10: boolean
- take: string
- audio: audio data
Data Split
- train: 2,000 samples, 882,179,256 bytes
Size
- Download size: 773,038,488 bytes
- Dataset size: 882,179,256 bytes
Configuration
- default: data files located at
data/train-*
License
- Creative Commons Attribution‑NonCommercial (cc‑by‑nc‑2.0)
Task Type
- Audio Classification
Scale
- 1K < N < 10K
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